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Experience Level
Senior
About the job
About the Role
Robinhood Markets, Inc. is hiring a Senior Data Scientist focused on Machine Learning for the Brokerage team. This role is based in Menlo Park, CA or New York, NY.
What You Will Do
Apply advanced data analysis and machine learning techniques to strengthen the trading platform.
Work closely with colleagues across product, engineering, and operations to develop data-driven tools and features.
Identify patterns and generate insights that support a better user experience and greater operational efficiency.
Collaboration
This position partners with cross-functional teams to design and implement solutions that address real needs within the Brokerage division.
About the Role Robinhood Markets, Inc. is hiring a Senior Data Scientist focused on Machine Learning for the Brokerage team. This role is based in Menlo Park, CA or New York, NY. What You Will Do Apply advanced data analysis and machine learning techniques to strengthen the trading platform. Work closely with colleagues across product, engineering, and opera…
Full-time|$165K/yr - $220K/yr|Hybrid|Menlo Park, CA
Join us in shaping the future of finance.Our mission is to democratize finance for everyone. An estimated $124 trillion of assets will be transferred to younger generations in the next two decades, marking the largest wealth transfer in history. If you’re eager to be at the forefront of this monumental cultural and financial transition, we invite you to apply.About the Team and RoleWe are assembling a top-tier team, leveraging cutting-edge technologies to tackle the most significant financial challenges globally. We seek innovative thinkers, exceptional problem-solvers, and motivated builders ready to make a difference. Robinhood is not for the complacent; it’s a place where ambitious individuals achieve their career best. Our high-performing, dynamic team prioritizes ethics in all aspects of our work, where high expectations yield equally high rewards.The Incentives Data Science team operates at the crossroads of Product, Marketing, Finance, and Machine Learning. Our goal is to facilitate sustainable, data-driven growth by developing modeling, measurement, and optimization systems that enhance activation, retention, and revenue. We collaborate closely with various teams at Robinhood to design, assess, and implement incentive programs that effectively acquire, activate, and retain customers.As a Senior Data Scientist, Machine Learning, you will spearhead the comprehensive design, optimization, and advancement of Robinhood’s incentive systems. You’ll create predictive and causal ML models, establish experimentation frameworks, and build decision-making and allocation algorithms that directly shape how millions of users interact with Robinhood. This is a unique chance to influence impactful ML systems while defining incentive strategies at a company-wide level!This role is based in our Menlo Park, CA office, with a requirement for in-person attendance of at least 3 days per week.At Robinhood, we value in-person engagement to foster innovation, accelerate progress, and strengthen community. Our office environment is designed to be purposeful, invigorating, and fully supportive of high-performing teams.What You Will DoDevelop, implement, and refine predictive and causal models for incentive targeting.Design and assess experiments to quantify the incremental impact, payback, and ROI of promotional initiatives.Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to provide insights for scalable solutions.
Full-time|$165K/yr - $220K/yr|Hybrid|Menlo Park, CA
Help Us Shape the Future of FinanceAt Robinhood, our mission is to democratize finance for everyone. With a projected $124 trillion of assets expected to be passed down to younger generations over the next two decades, this is a pivotal moment in financial history. If you're eager to be at the forefront of this transformation, we invite you to explore this opportunity.About the Team and RoleWe are assembling a top-tier team dedicated to leveraging cutting-edge technologies to tackle significant financial challenges. We seek innovative thinkers, adept problem-solvers, and proactive builders who are driven to create meaningful change. Robinhood is not a place for the complacent; it is where ambitious individuals can achieve the pinnacle of their careers. Our culture is fast-paced, performance-oriented, and centered around ethical practices. High expectations come with substantial rewards.The Fraud Data Science team is committed to protecting Robinhood and its users by identifying and preventing fraudulent activities across our platform. Utilizing machine learning and advanced analytics, we combat malicious actions in real time, ensuring a safe and reliable experience for all users. Our efforts significantly influence customer security, the company's risk profile, and regulatory compliance.As a Senior Data Scientist on the Fraud team, you will be responsible for the design and implementation of machine learning solutions that proactively identify suspicious activities, minimize financial losses, and enhance the accuracy of fraud detection. You will collaborate closely with engineering, product, risk, and compliance teams to shape system architecture, inform policy decisions through data, and augment the safety and integrity of our platform.This position is based in our Menlo Park office, with a requirement for in-person attendance at least 3 days a week.At Robinhood, we recognize the value of in-person collaboration for accelerating progress, fostering innovation, and building community. Our office environment is intentionally designed to energize and support high-performing teams.What You'll DoDevelop and deploy fraud detection models to safeguard Robinhood users and assets in real time.Analyze behavioral data to reveal emerging fraud patterns and trends. ...
Periodic Labs is an AI and physical sciences company based in Menlo Park. The team focuses on advancing scientific discovery by building advanced models that drive progress in materials, energy, and related fields. The company operates with a strong sense of ownership and a drive to push scientific boundaries, supported by leading investors and a rapidly growing organization. Role overview The Machine Learning Systems Engineer will own the systems layer that powers model training and inference. This work is closely tied to the reinforcement learning (RL) feedback loop at the heart of Periodic Labs' research process, where models propose experiments, experiments generate data, and that data improves future models. The role blends deep infrastructure work with research collaboration, focusing on both performance and integration with the scientific workflow. What you will do Develop scheduling solutions for GB series GPUs using platforms like Ray, Slurm, and Kubernetes. Aim to minimize latency and maximize resource utilization across different cluster setups. Create profiling tools, both online and offline, to identify and resolve bottlenecks in the training and inference stack. Implement direct S3 checkpoint streaming to remove I/O bottlenecks during large-scale training runs. Benchmark RL training configurations across model sizes, batch strategies, and hardware architectures to find optimal setups. Write and optimize communication and GPU kernels to increase hardware throughput. Design and implement zero-copy RDMA weight synchronization between training and inference systems, keeping the RL loop fast and efficient. Develop sandbox execution environments for rapid algorithm testing and iteration. Key focus areas Scheduling, kernels, RDMA, weight synchronization, and communication primitives Collaboration with researchers to co-design algorithms and infrastructure Accelerating the RL feedback loop that drives scientific discovery at Periodic Labs
At GRAIL, our mission is to revolutionize cancer detection by identifying it at an early stage when treatment can be most effective. We strive to alter the landscape of cancer mortality by uniting various stakeholders in the adoption of groundbreaking, safe, and efficient technologies that can truly transform cancer care.As a pioneering healthcare company, GRAIL is at the forefront of advancing early cancer detection technology. Our multi-disciplinary team, consisting of scientists, engineers, and physicians, utilizes cutting-edge next-generation sequencing (NGS), large-scale clinical studies, and advanced data science techniques to tackle one of the greatest challenges in medicine.Headquartered in the Bay Area, GRAIL also has locations in Washington, D.C., North Carolina, and the United Kingdom. We are backed by prominent global investors and partners from the pharmaceutical, technology, and healthcare sectors.We are currently looking for a Staff Machine Learning Infrastructure Engineer to join our Research Platform Engineering team. This software engineering role involves developing and maintaining systems that support machine learning and analysis workflows with controlled data. You will empower computational biologists, data scientists, and statisticians in crafting and refining powerful diagnostic products by facilitating efficient exploratory research and classifier development.The ideal candidate is someone who has a strong passion for reliable software infrastructure, distributed computing, reproducible research, and adept problem-solving skills. Given the collaborative nature of this role, excellent communication skills and experience working with diverse, multidisciplinary teams are essential.This position is hybrid, based in Menlo Park, CA, with plans to relocate to Sunnyvale, CA in Fall 2026. Our current hybrid policy requires a minimum on-site presence of 40%, particularly on key collaboration days, which are Tuesdays and Thursdays at our Menlo Park campus.
Be a Part of the Financial Revolution.At Robinhood, our mission is to make finance accessible to everyone. With an estimated $124 trillion of assets expected to be transferred to younger generations in the coming years, we stand at the forefront of this transformative shift. If you are eager to play a pivotal role in this historic financial evolution, keep reading.About the Team and RoleWe are assembling a premier team that utilizes cutting-edge technologies to tackle the most significant challenges in finance. We seek innovative thinkers and adept problem-solvers—individuals who are driven to create impactful solutions. Robinhood is a platform for those who refuse to settle; we are a dynamic, high-performing team that values ethical practices in all our endeavors. Our expectations are high, but the rewards are equally substantial.The Brokerage team is the heart of Robinhood, characterized by a fast-paced and collaborative environment that fosters innovation across our range of brokerage products.As a Senior Data Scientist within the Data Science team, you will engage in a high-impact, cross-functional role, collaborating closely with colleagues across product management, engineering, user research, design, marketing, finance, and operations. Together, you will harness the potential of data to redefine our brokerage offerings and provide exceptional value to our customers.We are in search of a committed and driven data science leader to spearhead product growth through top-tier experimentation, data analysis, and informed strategy development. Your contributions will directly impact our product roadmap, unveil new opportunities, and enhance the trading experiences of millions.This position is based in our Menlo Park office, where in-person attendance is required at least three days a week. At Robinhood, we recognize the value of in-person collaboration to foster progress, ignite innovation, and build community. Our office environment is intentionally designed to energize and support high-performing teams.
Join billiontoone as a Senior Scientist, where you will play a pivotal role in advancing our groundbreaking technologies in molecular diagnostics. In this position, you will leverage your expertise to drive innovative research initiatives and collaborate with a talented team to develop novel solutions that address some of the most pressing challenges in healthcare.
Join billiontoone as a Senior Scientist in Oncology, where you will play a pivotal role in advancing cancer research and innovative therapeutic solutions. Collaborate with a diverse team of experts in a cutting-edge environment that fosters creativity and scientific excellence.
At Develop Health, we're driven by a powerful mission: to leverage AI to significantly enhance access to life-saving medications. By streamlining intricate manual healthcare processes—such as benefit verification and prior authorization—we have experienced an astounding 10x revenue growth over the past year, soaring from $0 to over $10M in annual recurring revenue in under two years, and currently assisting over 400,000 new patients every month.Collaborating with some of the largest pharmacy benefit managers and payers nationwide, we are transforming healthcare interactions by eradicating human-induced delays and inefficiencies. Our small, elite team of founders and engineers has a track record of launching and exiting successful healthcare startups, including Rupa Health and Canvas Medical. Now, we are poised for rapid scaling following a significant funding round.About the Role:We are looking for a Head of AI who will take charge of the technical vision and execution of applied AI throughout the organization. This role is highly hands-on—you will dedicate the majority of your time to building, assessing, and deploying AI systems rather than managing from afar. You will lead a small, senior AI team and collaborate closely with the CTO to determine how AI influences every aspect of our product and operations.Our AI systems manage hundreds of thousands of healthcare interactions each month—encompassing voice agents, document processing, and clinical decision support. Your mission will be to expand the boundaries of what is possible: enhancing model performance, crafting evaluation frameworks, architecting agents, and remaining at the cutting edge of applied AI in a regulated environment. This position is ideal for someone eager to shape AI strategy for a rapidly growing company while remaining deeply involved in technical work.Your Impact in the First 3–6 Months:Own our AI systems end-to-end—models, prompts, evaluation pipelines, and agent architectures—while pinpointing the most impactful enhancements.Develop and refine rigorous evaluation frameworks that accurately measure model reliability, accuracy, and clinical relevance.Lead and expand the AI team while actively contributing code—a player-coach role with a strong focus on development.Collaborate with the CTO to define the applied AI roadmap—determining where to invest in fine-tuning versus prompting, where to build versus buy, and how to stay ahead in this rapidly evolving field.Implement AI enhancements into production: design APIs, optimize inference, and create observability to monitor system performance.
Full-time|$157K/yr - $210K/yr|On-site|Menlo Park, CA
Be a part of shaping the future of finance.Our mission is to make finance accessible for everyone. With an estimated $124 trillion poised to be inherited by younger generations over the next two decades, we are at the forefront of a monumental wealth transfer. If you're prepared to engage in this pivotal cultural and financial evolution, we invite you to explore this opportunity.About the Team and RoleWe are assembling a premier team dedicated to tackling significant financial challenges through innovative technologies. We seek bold visionaries, adept problem-solvers, and builders motivated to create meaningful change. At Robinhood, complacency has no place; we are where ambitious individuals excel and achieve their career best. Our high-performing, dynamic team operates with ethics at the core of our work. High expectations yield high rewards.The Learning & Development team at Robinhood enhances performance on a large scale by providing impactful learning experiences. We empower our employees to excel through carefully crafted programs and streamlined, data-driven learning processes that support their journey—from onboarding through professional growth and compliance training. We believe that the most effective learning experiences are practical, integrated into daily workflows, and focused on driving performance excellence. Our team harmonizes creativity with practicality, developing engaging, scalable programs aligned with Robinhood’s culture, brand, and business objectives.As the Manager of Learning & Development, you will oversee the design, quality, and implementation of learning experiences throughout Robinhood. You will lead a dedicated team and collaborate with various business units to transform complex content into impactful, scalable training programs. Your role will set high standards for the quality of learning design, ensure uniformity across programs, and spearhead innovation in learning methods and tools. This position demands expertise in both strategic oversight and hands-on execution—leading a team while occasionally participating in content design.This position is based in our Menlo Park, CA office, with an expectation of in-person attendance at least four days a week.At Robinhood, we recognize the value of in-person collaboration in fostering progress, igniting innovation, and building community. Our office environment is intentionally designed to be invigorating and fully supportive of high-performing teams.ResponsibilitiesLead and nurture the learning design team, fostering a culture of continuous improvement and innovation.
Full-time|$298K/yr - $350K/yr|On-site|Bellevue, WA; Menlo Park, CA
Robinhood Markets, Inc. is advancing its AI capabilities to support the future of finance. The Artificial Intelligence team designs and maintains the machine learning infrastructure that powers both new features and internal improvements across the Robinhood platform. Role overview The Senior Engineering Manager, AI, will oversee the team responsible for building and scaling Robinhood’s core AI systems. This includes managing the design and rollout of machine learning models for a variety of products and internal tools. The position plays a key part in helping product and engineering teams deliver and refine AI-driven features that address customer needs. What you will do Lead the development of foundational AI and machine learning infrastructure Manage teams working on the creation and deployment of ML and AI models for both customer products and internal processes Guide the adoption and use of Large Language Models (LLMs) to create scalable solutions Influence the engineering organization’s approach to advanced modeling and developer platforms Requirements Extensive experience in software engineering Proven track record applying machine learning at scale Strong leadership background, particularly with developer-facing platform teams Strategic vision for driving AI adoption and innovation within a large organization Location and collaboration This role is based onsite in either Menlo Park, CA or Bellevue, WA. In-person attendance is required five days per week. Robinhood emphasizes in-person collaboration to accelerate progress, encourage innovation, and strengthen its community. For additional context on the evolving landscape in finance, see this report on the $124 trillion wealth transfer expected by 2048.
Join BillionToOne as a Senior AI Engineer I, where you will leverage your expertise in artificial intelligence and machine learning to drive innovation. In this role, you will be instrumental in developing cutting-edge AI solutions that empower our mission of advancing health technology. Collaborate with a dynamic team of engineers and researchers to create impactful applications that make a difference.
Type: Full-time, 12-month termAbout Periodic Labs Periodic Labs is at the forefront of innovation, merging artificial intelligence with physical sciences to develop cutting-edge models aimed at groundbreaking scientific discoveries. As a rapidly growing and well-funded lab, we empower our team members to take ownership of their work, encouraging a culture free from bureaucratic constraints. Our commitment to continuous learning drives us to adopt new tools and scientific methods to advance our mission.What to ExpectAs a Research Scientist at Periodic Labs, you will be a crucial part of a high-caliber team of scientists and engineers dedicated to revolutionizing materials research. Here, AI and automation facilitate unprecedented discoveries at remarkable speed and scale. You will transform AI predictions into tangible outcomes by applying principles of physics and measurement science. This role involves innovating new material characterization techniques and contributing to the development of autonomous discovery processes.ResponsibilitiesPhysical Property Measurements: Design and conduct high-precision thermodynamic, transport, and spectroscopic measurements of materials.High-throughput Screening: Create rapid property measurement methods to enhance the scalability of material characterization.Analysis: Collaborate with our AI team to implement automated data analysis and reasoning processes for screened materials.Automation: Work alongside our engineering team to develop robotic systems for autonomous property characterization.QualificationsPhD in Physics, Materials Science, or a closely related field, along with 5+ years of relevant experience.Proven expertise in physical property characterization, particularly in electronic and magnetic measurements.Solid background in cryogenic measurements and low-noise techniques including lock-in methods, shielding/grounding, and precision instrumentation.A strong record of impactful research demonstrated by publications in leading journals or patents, along with recognized leadership in the field.Proficiency in data analysis tools such as Python and Jupyter; familiarity with instrument SDKs is a plus.Exceptional scientific writing skills, ability to collaborate across disciplines, and a strong commitment to maintaining high-quality experimental standards.
About Periodic Labs Periodic Labs is an innovative AI and physical sciences laboratory dedicated to creating advanced models for groundbreaking scientific discoveries. Our organization is rapidly expanding and well-funded, providing team members with ownership and the freedom to identify and address challenges without the constraints of bureaucracy. We are passionate about learning new tools and scientific principles to advance our mission.What to ExpectAs a part of our elite team of scientists and engineers, you will be at the forefront of materials research in a cutting-edge lab where AI and automation accelerate discoveries at an unparalleled pace and scale.In the role of Research Scientist, you will bridge computational predictions with practical applications in solid-state materials chemistry. You will innovate novel materials synthesis techniques while contributing to the development of autonomous discovery processes.
Join the Future of Molecular Diagnostics!Become part of a dynamic team of innovators dedicated to revolutionizing healthcare. At BillionToOne, we have cultivated a groundbreaking, publicly traded company on Nasdaq where transparency breeds trust, collaboration sparks innovation, and every effort contributes to our mission of making transformative diagnostics accessible to everyone. We strive not just for small advancements but to create products that are an order of magnitude better than the existing solutions.Our dedicated scientists, engineers, sales professionals, and visionaries share a common goal: to elevate the standard of care in prenatal and cancer diagnostics. Here, cutting-edge science aligns with compassionate care, and every innovation you contribute will help alleviate the anxiety surrounding some of life’s most pivotal medical moments.If you are motivated by purpose, inspired by innovation, and eager to help shape the future of precision medicine on a grand scale, you belong with us!We are seeking an enthusiastic Clinical Laboratory Scientist (California Clinical Laboratory Scientist License required) to join our exceptional CLIA team. You will be instrumental in the end-to-end processing of cancer blood samples within a high-complexity, high-growth CLIA environment. This is an onsite position.Shift Hours: Tuesday to Saturday PM (1:30 PM - 10 PM)Weekday PM: 20%Weekend PM: 25%Responsibilities:Conduct clinical laboratory assays to generate data for disease diagnosis, treatment, and prevention.Perform quality control studies to ensure the precision of clinical data.Verify instrument performance through calibration and documentation of specific lab instruments.Participate in R&D for CLIA tech transfer, troubleshooting, training, and validations.
About Periodic LabsPeriodic Labs is an innovative AI and physical sciences lab dedicated to constructing cutting-edge models that lead to groundbreaking scientific discoveries. We are well-capitalized and experiencing rapid growth. Our team members are empowered to identify and tackle challenges without the constraints of bureaucracy, embracing new tools and scientific advancements to propel our mission forward.About the RoleBecome part of a distinguished team of scientists and engineers who are redefining materials research in a pioneering laboratory where AI and automation facilitate discoveries at unmatched speed and scale. As a Research Scientist focusing on Thin Film Materials Discovery, you will spearhead thin-film synthesis initiatives utilizing advanced PVD platforms, establishing the experimental groundwork for autonomous discovery processes. This position involves collaboration with computational and AI scientists, as well as partnering with engineers to design next-generation automated laboratory systems.ResponsibilitiesGrow: Formulate synthesis strategies to realize novel thin-film materials predicted by AI.Characterize: Identify and control the crystal structures, defects, microstructures, and properties of previously unachieved compounds.Analyze: Collaborate with AI and computational teams to develop predictive models of materials growth and properties grounded in physics and chemistry.Automate: Collaborate with engineers to design, test, and implement automated growth and characterization systems.
Type: Full-time, 12-month term, with potential for extension.About Periodic Labs:Periodic Labs is an innovative AI and physical sciences laboratory dedicated to developing cutting-edge models that facilitate groundbreaking scientific discoveries. With strong financial backing and rapid growth, our team operates with an ownership mindset, empowered to identify and address challenges without bureaucratic limitations. We are passionate about continuously learning new tools and scientific advancements to propel our mission forward.About the Role:Become a vital member of a distinguished team of scientists and engineers at the forefront of materials research within a pioneering lab where AI and automation drive unprecedented discoveries at scale. As a Research Associate or Postdoctoral Scientist, you will translate AI predictions into tangible results through the fields of materials science, physics, and chemistry. Collaborating closely with AI and automation teams, your work will expedite and enhance materials development, unlocking extraordinary capabilities for scientific breakthroughs.Responsibilities:In our lab, Research Associates and Postdoctoral Scientists play crucial roles in various facets of the material discovery and development process, including:Material Synthesis: Engage in high-throughput synthesis and structural characterization of materials aligned with AI predictions.Materials Characterization: Conduct rapid characterization of the structure and physical properties of both bulk and thin film materials, while providing feedback and integrating with AI predictions.Analysis: Collaborate with the AI team to develop and implement automated analysis and reasoning pipelines for material evaluation and prediction.Automation: Work alongside the engineering team to establish robotics-enabled architectures for materials development.Qualifications:PhD in Physics, Materials Science, Solid State Chemistry, or a closely related field.Demonstrated expertise in experimental science and data analysis.In-depth knowledge in one or more of the following areas: synthesis, characterization, and automation techniques relevant to materials R&D.Proven track record of impactful research, evidenced by publications in top-tier journals and/or patents.Exceptional scientific writing skills, collaborative spirit across disciplines, and a strong sense of ownership in projects.
About Periodic Labs Periodic Labs is an innovative AI and physical sciences laboratory dedicated to constructing advanced models that facilitate groundbreaking scientific discoveries. With robust funding and rapid growth, we empower our team members to take ownership, identify challenges, and solve problems in an environment free from limitations and bureaucracy. Our passion for learning new tools and sciences drives our mission forward.About the RoleWe are excited to invite a seasoned Multiphysics Simulation Scientist / Engineer to join our elite team of scientists and engineers. In this pivotal role, you will be instrumental in advancing our physical R&D initiatives within a pioneering lab where AI and automation revolutionize the pace and scale of discoveries.As a Multiphysics Simulation Scientist, you will develop, execute, and integrate high-fidelity physical simulations of our experimental systems, effectively linking materials processes with thermal and mechanical environments as well as electrical and magnetic behaviors to our AI-driven R&D pipelines.Key ResponsibilitiesCreate and implement multiphysics models for various processes, including thermal, mechanical, electromagnetic, plasma, fluid flow, and chemical reaction phenomena.Connect simulations with orchestration systems and data infrastructure to enable real-time digital twins and AI feedback loops.Generate diverse simulated datasets for machine learning training and reinforcement learning environments.Collaborate with teams in computational science, AI, automation, processes, and facilities to enhance R&D workflows.QualificationsPhD or MS in Mechanical, Chemical, Materials, Aerospace Engineering, or closely related fields.5+ years of practical experience with multiphysics modeling tools (e.g., COMSOL, ANSYS, or other finite-element / finite-volume solvers) to address a broad range of real-world challenges across electronics, automotive, aerospace, or chemical manufacturing sectors.In-depth knowledge of coupled physical processes, such as heat transfer, stress analysis, diffusion phenomena, plasma/fluid dynamics, and electromagnetism.Proficiency in Python programming.Bonus QualificationsExperience in modeling thin-film deposition and associated chemical reactions.Familiarity with machine learning methodologies relevant to multiphysics modeling.Ability to collaborate effectively across disciplines with engineers, scientists, and machine learning specialists.
About Periodic LabsPeriodic Labs is an innovative AI and physical sciences laboratory dedicated to developing cutting-edge models that facilitate groundbreaking scientific discoveries. With substantial funding and rapid growth, our team members are empowered as owners, tackling challenges without the constraints of bureaucracy. We embrace continuous learning, adopting new tools and scientific methods to advance our mission.Role OverviewIn this role, you will train advanced frontier models to become highly knowledgeable scientific experts, forming the backbone of reinforcement learning initiatives. You will devise techniques for large-scale synthetic data generation, model distillation, and continual learning. Additionally, you will collaborate closely with reinforcement learning researchers, physicists, and chemists to craft evaluations that enhance scientific data curation. Working alongside supercompute engineers, you will scale compute-efficient large language model (LLM) training across thousands of GPUs. You will also develop high-performance tools to explore the interplay between data and intelligence.Ideal Candidates Will Possess Experience In:Training large language models (LLMs) utilizing curated datasets comprising trillions of tokens.Calculating scaling laws and identifying compute-optimal hyperparameters.Generating billions of tokens of high-quality synthetic datasets.Constructing evaluations that correlate with downstream task performance.
Full-time|$124K/yr - $230K/yr|Hybrid|Menlo Park, CA
Be part of the financial revolution.At Robinhood, our mission is to democratize finance for everyone. With an anticipated transfer of $124 trillion in assets expected to be passed down to younger generations in the coming two decades, we invite you to join us at the forefront of this monumental financial and cultural transition.About the Team and RoleWe are assembling a top-tier team dedicated to tackling the most pressing financial challenges through cutting-edge technology. We seek bold innovators and adept problem-solvers—individuals who thrive on making a substantial impact. Robinhood is not a place for the complacent; it is where ambitious professionals excel in their careers. Our high-performing, agile team operates with ethics at the core of our mission. High expectations come with significant rewards.The Data Engineering team is responsible for creating and sustaining the foundational datasets that drive decision-making across Robinhood. We craft robust, scalable data systems that facilitate product analytics, growth strategy, financial reporting, experimentation, and machine learning. Our team collaborates closely with Product, Engineering, Data Science, and Finance to guarantee that accurate, well-structured data is accessible to all teams within the company. Our efforts directly impact how Robinhood evaluates performance, enhances customer experience, and scales its offerings.As a Senior Data Engineer, you will design, build, and enhance core datasets that monitor product performance and company-wide metrics. You will develop scalable data pipelines that incorporate application events and database snapshots into our data lake, ensuring high data quality and reliability. Collaborating with application engineers, you will improve data generation methods and partner with analytics teams to create intuitive, well-documented data models. This position provides a unique opportunity to establish the technical foundation that enables data-driven decision-making throughout the organization!This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.At Robinhood, we value the power of in-person collaboration to accelerate progress, ignite innovation, and strengthen community. Our office environment is designed to be intentional, invigorating, and fully supportive of high-performing teams.
About the Role Robinhood Markets, Inc. is hiring a Senior Data Scientist focused on Machine Learning for the Brokerage team. This role is based in Menlo Park, CA or New York, NY. What You Will Do Apply advanced data analysis and machine learning techniques to strengthen the trading platform. Work closely with colleagues across product, engineering, and opera…
Full-time|$165K/yr - $220K/yr|Hybrid|Menlo Park, CA
Join us in shaping the future of finance.Our mission is to democratize finance for everyone. An estimated $124 trillion of assets will be transferred to younger generations in the next two decades, marking the largest wealth transfer in history. If you’re eager to be at the forefront of this monumental cultural and financial transition, we invite you to apply.About the Team and RoleWe are assembling a top-tier team, leveraging cutting-edge technologies to tackle the most significant financial challenges globally. We seek innovative thinkers, exceptional problem-solvers, and motivated builders ready to make a difference. Robinhood is not for the complacent; it’s a place where ambitious individuals achieve their career best. Our high-performing, dynamic team prioritizes ethics in all aspects of our work, where high expectations yield equally high rewards.The Incentives Data Science team operates at the crossroads of Product, Marketing, Finance, and Machine Learning. Our goal is to facilitate sustainable, data-driven growth by developing modeling, measurement, and optimization systems that enhance activation, retention, and revenue. We collaborate closely with various teams at Robinhood to design, assess, and implement incentive programs that effectively acquire, activate, and retain customers.As a Senior Data Scientist, Machine Learning, you will spearhead the comprehensive design, optimization, and advancement of Robinhood’s incentive systems. You’ll create predictive and causal ML models, establish experimentation frameworks, and build decision-making and allocation algorithms that directly shape how millions of users interact with Robinhood. This is a unique chance to influence impactful ML systems while defining incentive strategies at a company-wide level!This role is based in our Menlo Park, CA office, with a requirement for in-person attendance of at least 3 days per week.At Robinhood, we value in-person engagement to foster innovation, accelerate progress, and strengthen community. Our office environment is designed to be purposeful, invigorating, and fully supportive of high-performing teams.What You Will DoDevelop, implement, and refine predictive and causal models for incentive targeting.Design and assess experiments to quantify the incremental impact, payback, and ROI of promotional initiatives.Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to provide insights for scalable solutions.
Full-time|$165K/yr - $220K/yr|Hybrid|Menlo Park, CA
Help Us Shape the Future of FinanceAt Robinhood, our mission is to democratize finance for everyone. With a projected $124 trillion of assets expected to be passed down to younger generations over the next two decades, this is a pivotal moment in financial history. If you're eager to be at the forefront of this transformation, we invite you to explore this opportunity.About the Team and RoleWe are assembling a top-tier team dedicated to leveraging cutting-edge technologies to tackle significant financial challenges. We seek innovative thinkers, adept problem-solvers, and proactive builders who are driven to create meaningful change. Robinhood is not a place for the complacent; it is where ambitious individuals can achieve the pinnacle of their careers. Our culture is fast-paced, performance-oriented, and centered around ethical practices. High expectations come with substantial rewards.The Fraud Data Science team is committed to protecting Robinhood and its users by identifying and preventing fraudulent activities across our platform. Utilizing machine learning and advanced analytics, we combat malicious actions in real time, ensuring a safe and reliable experience for all users. Our efforts significantly influence customer security, the company's risk profile, and regulatory compliance.As a Senior Data Scientist on the Fraud team, you will be responsible for the design and implementation of machine learning solutions that proactively identify suspicious activities, minimize financial losses, and enhance the accuracy of fraud detection. You will collaborate closely with engineering, product, risk, and compliance teams to shape system architecture, inform policy decisions through data, and augment the safety and integrity of our platform.This position is based in our Menlo Park office, with a requirement for in-person attendance at least 3 days a week.At Robinhood, we recognize the value of in-person collaboration for accelerating progress, fostering innovation, and building community. Our office environment is intentionally designed to energize and support high-performing teams.What You'll DoDevelop and deploy fraud detection models to safeguard Robinhood users and assets in real time.Analyze behavioral data to reveal emerging fraud patterns and trends. ...
Periodic Labs is an AI and physical sciences company based in Menlo Park. The team focuses on advancing scientific discovery by building advanced models that drive progress in materials, energy, and related fields. The company operates with a strong sense of ownership and a drive to push scientific boundaries, supported by leading investors and a rapidly growing organization. Role overview The Machine Learning Systems Engineer will own the systems layer that powers model training and inference. This work is closely tied to the reinforcement learning (RL) feedback loop at the heart of Periodic Labs' research process, where models propose experiments, experiments generate data, and that data improves future models. The role blends deep infrastructure work with research collaboration, focusing on both performance and integration with the scientific workflow. What you will do Develop scheduling solutions for GB series GPUs using platforms like Ray, Slurm, and Kubernetes. Aim to minimize latency and maximize resource utilization across different cluster setups. Create profiling tools, both online and offline, to identify and resolve bottlenecks in the training and inference stack. Implement direct S3 checkpoint streaming to remove I/O bottlenecks during large-scale training runs. Benchmark RL training configurations across model sizes, batch strategies, and hardware architectures to find optimal setups. Write and optimize communication and GPU kernels to increase hardware throughput. Design and implement zero-copy RDMA weight synchronization between training and inference systems, keeping the RL loop fast and efficient. Develop sandbox execution environments for rapid algorithm testing and iteration. Key focus areas Scheduling, kernels, RDMA, weight synchronization, and communication primitives Collaboration with researchers to co-design algorithms and infrastructure Accelerating the RL feedback loop that drives scientific discovery at Periodic Labs
At GRAIL, our mission is to revolutionize cancer detection by identifying it at an early stage when treatment can be most effective. We strive to alter the landscape of cancer mortality by uniting various stakeholders in the adoption of groundbreaking, safe, and efficient technologies that can truly transform cancer care.As a pioneering healthcare company, GRAIL is at the forefront of advancing early cancer detection technology. Our multi-disciplinary team, consisting of scientists, engineers, and physicians, utilizes cutting-edge next-generation sequencing (NGS), large-scale clinical studies, and advanced data science techniques to tackle one of the greatest challenges in medicine.Headquartered in the Bay Area, GRAIL also has locations in Washington, D.C., North Carolina, and the United Kingdom. We are backed by prominent global investors and partners from the pharmaceutical, technology, and healthcare sectors.We are currently looking for a Staff Machine Learning Infrastructure Engineer to join our Research Platform Engineering team. This software engineering role involves developing and maintaining systems that support machine learning and analysis workflows with controlled data. You will empower computational biologists, data scientists, and statisticians in crafting and refining powerful diagnostic products by facilitating efficient exploratory research and classifier development.The ideal candidate is someone who has a strong passion for reliable software infrastructure, distributed computing, reproducible research, and adept problem-solving skills. Given the collaborative nature of this role, excellent communication skills and experience working with diverse, multidisciplinary teams are essential.This position is hybrid, based in Menlo Park, CA, with plans to relocate to Sunnyvale, CA in Fall 2026. Our current hybrid policy requires a minimum on-site presence of 40%, particularly on key collaboration days, which are Tuesdays and Thursdays at our Menlo Park campus.
Be a Part of the Financial Revolution.At Robinhood, our mission is to make finance accessible to everyone. With an estimated $124 trillion of assets expected to be transferred to younger generations in the coming years, we stand at the forefront of this transformative shift. If you are eager to play a pivotal role in this historic financial evolution, keep reading.About the Team and RoleWe are assembling a premier team that utilizes cutting-edge technologies to tackle the most significant challenges in finance. We seek innovative thinkers and adept problem-solvers—individuals who are driven to create impactful solutions. Robinhood is a platform for those who refuse to settle; we are a dynamic, high-performing team that values ethical practices in all our endeavors. Our expectations are high, but the rewards are equally substantial.The Brokerage team is the heart of Robinhood, characterized by a fast-paced and collaborative environment that fosters innovation across our range of brokerage products.As a Senior Data Scientist within the Data Science team, you will engage in a high-impact, cross-functional role, collaborating closely with colleagues across product management, engineering, user research, design, marketing, finance, and operations. Together, you will harness the potential of data to redefine our brokerage offerings and provide exceptional value to our customers.We are in search of a committed and driven data science leader to spearhead product growth through top-tier experimentation, data analysis, and informed strategy development. Your contributions will directly impact our product roadmap, unveil new opportunities, and enhance the trading experiences of millions.This position is based in our Menlo Park office, where in-person attendance is required at least three days a week. At Robinhood, we recognize the value of in-person collaboration to foster progress, ignite innovation, and build community. Our office environment is intentionally designed to energize and support high-performing teams.
Join billiontoone as a Senior Scientist, where you will play a pivotal role in advancing our groundbreaking technologies in molecular diagnostics. In this position, you will leverage your expertise to drive innovative research initiatives and collaborate with a talented team to develop novel solutions that address some of the most pressing challenges in healthcare.
Join billiontoone as a Senior Scientist in Oncology, where you will play a pivotal role in advancing cancer research and innovative therapeutic solutions. Collaborate with a diverse team of experts in a cutting-edge environment that fosters creativity and scientific excellence.
At Develop Health, we're driven by a powerful mission: to leverage AI to significantly enhance access to life-saving medications. By streamlining intricate manual healthcare processes—such as benefit verification and prior authorization—we have experienced an astounding 10x revenue growth over the past year, soaring from $0 to over $10M in annual recurring revenue in under two years, and currently assisting over 400,000 new patients every month.Collaborating with some of the largest pharmacy benefit managers and payers nationwide, we are transforming healthcare interactions by eradicating human-induced delays and inefficiencies. Our small, elite team of founders and engineers has a track record of launching and exiting successful healthcare startups, including Rupa Health and Canvas Medical. Now, we are poised for rapid scaling following a significant funding round.About the Role:We are looking for a Head of AI who will take charge of the technical vision and execution of applied AI throughout the organization. This role is highly hands-on—you will dedicate the majority of your time to building, assessing, and deploying AI systems rather than managing from afar. You will lead a small, senior AI team and collaborate closely with the CTO to determine how AI influences every aspect of our product and operations.Our AI systems manage hundreds of thousands of healthcare interactions each month—encompassing voice agents, document processing, and clinical decision support. Your mission will be to expand the boundaries of what is possible: enhancing model performance, crafting evaluation frameworks, architecting agents, and remaining at the cutting edge of applied AI in a regulated environment. This position is ideal for someone eager to shape AI strategy for a rapidly growing company while remaining deeply involved in technical work.Your Impact in the First 3–6 Months:Own our AI systems end-to-end—models, prompts, evaluation pipelines, and agent architectures—while pinpointing the most impactful enhancements.Develop and refine rigorous evaluation frameworks that accurately measure model reliability, accuracy, and clinical relevance.Lead and expand the AI team while actively contributing code—a player-coach role with a strong focus on development.Collaborate with the CTO to define the applied AI roadmap—determining where to invest in fine-tuning versus prompting, where to build versus buy, and how to stay ahead in this rapidly evolving field.Implement AI enhancements into production: design APIs, optimize inference, and create observability to monitor system performance.
Full-time|$157K/yr - $210K/yr|On-site|Menlo Park, CA
Be a part of shaping the future of finance.Our mission is to make finance accessible for everyone. With an estimated $124 trillion poised to be inherited by younger generations over the next two decades, we are at the forefront of a monumental wealth transfer. If you're prepared to engage in this pivotal cultural and financial evolution, we invite you to explore this opportunity.About the Team and RoleWe are assembling a premier team dedicated to tackling significant financial challenges through innovative technologies. We seek bold visionaries, adept problem-solvers, and builders motivated to create meaningful change. At Robinhood, complacency has no place; we are where ambitious individuals excel and achieve their career best. Our high-performing, dynamic team operates with ethics at the core of our work. High expectations yield high rewards.The Learning & Development team at Robinhood enhances performance on a large scale by providing impactful learning experiences. We empower our employees to excel through carefully crafted programs and streamlined, data-driven learning processes that support their journey—from onboarding through professional growth and compliance training. We believe that the most effective learning experiences are practical, integrated into daily workflows, and focused on driving performance excellence. Our team harmonizes creativity with practicality, developing engaging, scalable programs aligned with Robinhood’s culture, brand, and business objectives.As the Manager of Learning & Development, you will oversee the design, quality, and implementation of learning experiences throughout Robinhood. You will lead a dedicated team and collaborate with various business units to transform complex content into impactful, scalable training programs. Your role will set high standards for the quality of learning design, ensure uniformity across programs, and spearhead innovation in learning methods and tools. This position demands expertise in both strategic oversight and hands-on execution—leading a team while occasionally participating in content design.This position is based in our Menlo Park, CA office, with an expectation of in-person attendance at least four days a week.At Robinhood, we recognize the value of in-person collaboration in fostering progress, igniting innovation, and building community. Our office environment is intentionally designed to be invigorating and fully supportive of high-performing teams.ResponsibilitiesLead and nurture the learning design team, fostering a culture of continuous improvement and innovation.
Full-time|$298K/yr - $350K/yr|On-site|Bellevue, WA; Menlo Park, CA
Robinhood Markets, Inc. is advancing its AI capabilities to support the future of finance. The Artificial Intelligence team designs and maintains the machine learning infrastructure that powers both new features and internal improvements across the Robinhood platform. Role overview The Senior Engineering Manager, AI, will oversee the team responsible for building and scaling Robinhood’s core AI systems. This includes managing the design and rollout of machine learning models for a variety of products and internal tools. The position plays a key part in helping product and engineering teams deliver and refine AI-driven features that address customer needs. What you will do Lead the development of foundational AI and machine learning infrastructure Manage teams working on the creation and deployment of ML and AI models for both customer products and internal processes Guide the adoption and use of Large Language Models (LLMs) to create scalable solutions Influence the engineering organization’s approach to advanced modeling and developer platforms Requirements Extensive experience in software engineering Proven track record applying machine learning at scale Strong leadership background, particularly with developer-facing platform teams Strategic vision for driving AI adoption and innovation within a large organization Location and collaboration This role is based onsite in either Menlo Park, CA or Bellevue, WA. In-person attendance is required five days per week. Robinhood emphasizes in-person collaboration to accelerate progress, encourage innovation, and strengthen its community. For additional context on the evolving landscape in finance, see this report on the $124 trillion wealth transfer expected by 2048.
Join BillionToOne as a Senior AI Engineer I, where you will leverage your expertise in artificial intelligence and machine learning to drive innovation. In this role, you will be instrumental in developing cutting-edge AI solutions that empower our mission of advancing health technology. Collaborate with a dynamic team of engineers and researchers to create impactful applications that make a difference.
Type: Full-time, 12-month termAbout Periodic Labs Periodic Labs is at the forefront of innovation, merging artificial intelligence with physical sciences to develop cutting-edge models aimed at groundbreaking scientific discoveries. As a rapidly growing and well-funded lab, we empower our team members to take ownership of their work, encouraging a culture free from bureaucratic constraints. Our commitment to continuous learning drives us to adopt new tools and scientific methods to advance our mission.What to ExpectAs a Research Scientist at Periodic Labs, you will be a crucial part of a high-caliber team of scientists and engineers dedicated to revolutionizing materials research. Here, AI and automation facilitate unprecedented discoveries at remarkable speed and scale. You will transform AI predictions into tangible outcomes by applying principles of physics and measurement science. This role involves innovating new material characterization techniques and contributing to the development of autonomous discovery processes.ResponsibilitiesPhysical Property Measurements: Design and conduct high-precision thermodynamic, transport, and spectroscopic measurements of materials.High-throughput Screening: Create rapid property measurement methods to enhance the scalability of material characterization.Analysis: Collaborate with our AI team to implement automated data analysis and reasoning processes for screened materials.Automation: Work alongside our engineering team to develop robotic systems for autonomous property characterization.QualificationsPhD in Physics, Materials Science, or a closely related field, along with 5+ years of relevant experience.Proven expertise in physical property characterization, particularly in electronic and magnetic measurements.Solid background in cryogenic measurements and low-noise techniques including lock-in methods, shielding/grounding, and precision instrumentation.A strong record of impactful research demonstrated by publications in leading journals or patents, along with recognized leadership in the field.Proficiency in data analysis tools such as Python and Jupyter; familiarity with instrument SDKs is a plus.Exceptional scientific writing skills, ability to collaborate across disciplines, and a strong commitment to maintaining high-quality experimental standards.
About Periodic Labs Periodic Labs is an innovative AI and physical sciences laboratory dedicated to creating advanced models for groundbreaking scientific discoveries. Our organization is rapidly expanding and well-funded, providing team members with ownership and the freedom to identify and address challenges without the constraints of bureaucracy. We are passionate about learning new tools and scientific principles to advance our mission.What to ExpectAs a part of our elite team of scientists and engineers, you will be at the forefront of materials research in a cutting-edge lab where AI and automation accelerate discoveries at an unparalleled pace and scale.In the role of Research Scientist, you will bridge computational predictions with practical applications in solid-state materials chemistry. You will innovate novel materials synthesis techniques while contributing to the development of autonomous discovery processes.
Join the Future of Molecular Diagnostics!Become part of a dynamic team of innovators dedicated to revolutionizing healthcare. At BillionToOne, we have cultivated a groundbreaking, publicly traded company on Nasdaq where transparency breeds trust, collaboration sparks innovation, and every effort contributes to our mission of making transformative diagnostics accessible to everyone. We strive not just for small advancements but to create products that are an order of magnitude better than the existing solutions.Our dedicated scientists, engineers, sales professionals, and visionaries share a common goal: to elevate the standard of care in prenatal and cancer diagnostics. Here, cutting-edge science aligns with compassionate care, and every innovation you contribute will help alleviate the anxiety surrounding some of life’s most pivotal medical moments.If you are motivated by purpose, inspired by innovation, and eager to help shape the future of precision medicine on a grand scale, you belong with us!We are seeking an enthusiastic Clinical Laboratory Scientist (California Clinical Laboratory Scientist License required) to join our exceptional CLIA team. You will be instrumental in the end-to-end processing of cancer blood samples within a high-complexity, high-growth CLIA environment. This is an onsite position.Shift Hours: Tuesday to Saturday PM (1:30 PM - 10 PM)Weekday PM: 20%Weekend PM: 25%Responsibilities:Conduct clinical laboratory assays to generate data for disease diagnosis, treatment, and prevention.Perform quality control studies to ensure the precision of clinical data.Verify instrument performance through calibration and documentation of specific lab instruments.Participate in R&D for CLIA tech transfer, troubleshooting, training, and validations.
About Periodic LabsPeriodic Labs is an innovative AI and physical sciences lab dedicated to constructing cutting-edge models that lead to groundbreaking scientific discoveries. We are well-capitalized and experiencing rapid growth. Our team members are empowered to identify and tackle challenges without the constraints of bureaucracy, embracing new tools and scientific advancements to propel our mission forward.About the RoleBecome part of a distinguished team of scientists and engineers who are redefining materials research in a pioneering laboratory where AI and automation facilitate discoveries at unmatched speed and scale. As a Research Scientist focusing on Thin Film Materials Discovery, you will spearhead thin-film synthesis initiatives utilizing advanced PVD platforms, establishing the experimental groundwork for autonomous discovery processes. This position involves collaboration with computational and AI scientists, as well as partnering with engineers to design next-generation automated laboratory systems.ResponsibilitiesGrow: Formulate synthesis strategies to realize novel thin-film materials predicted by AI.Characterize: Identify and control the crystal structures, defects, microstructures, and properties of previously unachieved compounds.Analyze: Collaborate with AI and computational teams to develop predictive models of materials growth and properties grounded in physics and chemistry.Automate: Collaborate with engineers to design, test, and implement automated growth and characterization systems.
Type: Full-time, 12-month term, with potential for extension.About Periodic Labs:Periodic Labs is an innovative AI and physical sciences laboratory dedicated to developing cutting-edge models that facilitate groundbreaking scientific discoveries. With strong financial backing and rapid growth, our team operates with an ownership mindset, empowered to identify and address challenges without bureaucratic limitations. We are passionate about continuously learning new tools and scientific advancements to propel our mission forward.About the Role:Become a vital member of a distinguished team of scientists and engineers at the forefront of materials research within a pioneering lab where AI and automation drive unprecedented discoveries at scale. As a Research Associate or Postdoctoral Scientist, you will translate AI predictions into tangible results through the fields of materials science, physics, and chemistry. Collaborating closely with AI and automation teams, your work will expedite and enhance materials development, unlocking extraordinary capabilities for scientific breakthroughs.Responsibilities:In our lab, Research Associates and Postdoctoral Scientists play crucial roles in various facets of the material discovery and development process, including:Material Synthesis: Engage in high-throughput synthesis and structural characterization of materials aligned with AI predictions.Materials Characterization: Conduct rapid characterization of the structure and physical properties of both bulk and thin film materials, while providing feedback and integrating with AI predictions.Analysis: Collaborate with the AI team to develop and implement automated analysis and reasoning pipelines for material evaluation and prediction.Automation: Work alongside the engineering team to establish robotics-enabled architectures for materials development.Qualifications:PhD in Physics, Materials Science, Solid State Chemistry, or a closely related field.Demonstrated expertise in experimental science and data analysis.In-depth knowledge in one or more of the following areas: synthesis, characterization, and automation techniques relevant to materials R&D.Proven track record of impactful research, evidenced by publications in top-tier journals and/or patents.Exceptional scientific writing skills, collaborative spirit across disciplines, and a strong sense of ownership in projects.
About Periodic Labs Periodic Labs is an innovative AI and physical sciences laboratory dedicated to constructing advanced models that facilitate groundbreaking scientific discoveries. With robust funding and rapid growth, we empower our team members to take ownership, identify challenges, and solve problems in an environment free from limitations and bureaucracy. Our passion for learning new tools and sciences drives our mission forward.About the RoleWe are excited to invite a seasoned Multiphysics Simulation Scientist / Engineer to join our elite team of scientists and engineers. In this pivotal role, you will be instrumental in advancing our physical R&D initiatives within a pioneering lab where AI and automation revolutionize the pace and scale of discoveries.As a Multiphysics Simulation Scientist, you will develop, execute, and integrate high-fidelity physical simulations of our experimental systems, effectively linking materials processes with thermal and mechanical environments as well as electrical and magnetic behaviors to our AI-driven R&D pipelines.Key ResponsibilitiesCreate and implement multiphysics models for various processes, including thermal, mechanical, electromagnetic, plasma, fluid flow, and chemical reaction phenomena.Connect simulations with orchestration systems and data infrastructure to enable real-time digital twins and AI feedback loops.Generate diverse simulated datasets for machine learning training and reinforcement learning environments.Collaborate with teams in computational science, AI, automation, processes, and facilities to enhance R&D workflows.QualificationsPhD or MS in Mechanical, Chemical, Materials, Aerospace Engineering, or closely related fields.5+ years of practical experience with multiphysics modeling tools (e.g., COMSOL, ANSYS, or other finite-element / finite-volume solvers) to address a broad range of real-world challenges across electronics, automotive, aerospace, or chemical manufacturing sectors.In-depth knowledge of coupled physical processes, such as heat transfer, stress analysis, diffusion phenomena, plasma/fluid dynamics, and electromagnetism.Proficiency in Python programming.Bonus QualificationsExperience in modeling thin-film deposition and associated chemical reactions.Familiarity with machine learning methodologies relevant to multiphysics modeling.Ability to collaborate effectively across disciplines with engineers, scientists, and machine learning specialists.
About Periodic LabsPeriodic Labs is an innovative AI and physical sciences laboratory dedicated to developing cutting-edge models that facilitate groundbreaking scientific discoveries. With substantial funding and rapid growth, our team members are empowered as owners, tackling challenges without the constraints of bureaucracy. We embrace continuous learning, adopting new tools and scientific methods to advance our mission.Role OverviewIn this role, you will train advanced frontier models to become highly knowledgeable scientific experts, forming the backbone of reinforcement learning initiatives. You will devise techniques for large-scale synthetic data generation, model distillation, and continual learning. Additionally, you will collaborate closely with reinforcement learning researchers, physicists, and chemists to craft evaluations that enhance scientific data curation. Working alongside supercompute engineers, you will scale compute-efficient large language model (LLM) training across thousands of GPUs. You will also develop high-performance tools to explore the interplay between data and intelligence.Ideal Candidates Will Possess Experience In:Training large language models (LLMs) utilizing curated datasets comprising trillions of tokens.Calculating scaling laws and identifying compute-optimal hyperparameters.Generating billions of tokens of high-quality synthetic datasets.Constructing evaluations that correlate with downstream task performance.
Full-time|$124K/yr - $230K/yr|Hybrid|Menlo Park, CA
Be part of the financial revolution.At Robinhood, our mission is to democratize finance for everyone. With an anticipated transfer of $124 trillion in assets expected to be passed down to younger generations in the coming two decades, we invite you to join us at the forefront of this monumental financial and cultural transition.About the Team and RoleWe are assembling a top-tier team dedicated to tackling the most pressing financial challenges through cutting-edge technology. We seek bold innovators and adept problem-solvers—individuals who thrive on making a substantial impact. Robinhood is not a place for the complacent; it is where ambitious professionals excel in their careers. Our high-performing, agile team operates with ethics at the core of our mission. High expectations come with significant rewards.The Data Engineering team is responsible for creating and sustaining the foundational datasets that drive decision-making across Robinhood. We craft robust, scalable data systems that facilitate product analytics, growth strategy, financial reporting, experimentation, and machine learning. Our team collaborates closely with Product, Engineering, Data Science, and Finance to guarantee that accurate, well-structured data is accessible to all teams within the company. Our efforts directly impact how Robinhood evaluates performance, enhances customer experience, and scales its offerings.As a Senior Data Engineer, you will design, build, and enhance core datasets that monitor product performance and company-wide metrics. You will develop scalable data pipelines that incorporate application events and database snapshots into our data lake, ensuring high data quality and reliability. Collaborating with application engineers, you will improve data generation methods and partner with analytics teams to create intuitive, well-documented data models. This position provides a unique opportunity to establish the technical foundation that enables data-driven decision-making throughout the organization!This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.At Robinhood, we value the power of in-person collaboration to accelerate progress, ignite innovation, and strengthen community. Our office environment is designed to be intentional, invigorating, and fully supportive of high-performing teams.
