Data Scientist / Machine Learning Engineer at Cathexis | Redwood City, CA

Join Poshmark Inc. as a Software Engineer II specializing in Machine Learning, where you will play a critical role in developing innovative algorithms and scalable solutions that enhance user experiences on our platform. Collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive business objectives and foster growth.

About the RoleJoin our innovative Safety Engineering team at Character.AI as a talented Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and scaling advanced backend systems while applying machine learning techniques to address critical safety and integrity challenges. You will be at the forefront of developing innovative solutions to navigate the complex safety landscape associated with human-AI interactions, utilizing your technical skills to help establish industry best practices in this rapidly evolving domain. This high-impact position will enable you to provide technical leadership, foster innovation, and enhance the trustworthiness of our platform.What You'll DoArchitect & Build: Design, develop, and maintain highly scalable, resilient, and efficient backend systems that support our integrity and safety functionalities.Lead Complex Solutions: Spearhead the technical design and implementation of sophisticated backend solutions aimed at detecting, preventing, and mitigating various integrity risks, including traditional challenges like content classification and spam, as well as emerging threats associated with Generative AI.Apply Machine Learning: Conceptualize, develop, deploy, and refine machine learning models and algorithms to tackle complex integrity issues, including content classification, anomaly detection, risk scoring, and behavior analysis, while ensuring robust safeguards for Generative AI systems.Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, particularly for Generative AI products.Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, focusing on addressing Generative AI safety concerns in alignment with company objectives.Mentorship & Leadership: Provide technical guidance and mentorship to fellow engineers within the team and across the organization, fostering a culture of engineering excellence.

Summary Description:Syntiant Corp., a pioneering name in the rapidly evolving AI software and semiconductor solutions sector, is in search of a seasoned and skilled Senior Machine Learning Engineer. This position offers a unique opportunity to significantly impact the Machine Learning capabilities within a dynamic and expanding organization.The Senior Machine Learning Engineer will focus on the design and development of cutting-edge audio and visual models for deployment on edge devices. We seek individuals who are at the forefront of Machine Learning advancements and can effectively transform research insights into precise and resilient solutions.

Join Poshmark, Inc. as a Senior Machine Learning Engineer and help us shape the future of e-commerce through cutting-edge technology. In this role, you will leverage your expertise in machine learning to develop innovative models and algorithms that enhance user experiences and drive business growth.As part of our dynamic team, you will collaborate with data scientists, engineers, and product managers to implement machine learning solutions that solve real-world problems. Your contributions will directly impact our platform, making it smarter and more intuitive for our users.

About Box Box (NYSE:BOX) stands at the forefront of Intelligent Content Management, empowering organizations to facilitate collaboration, oversee the entire content lifecycle, safeguard critical information, and transform business workflows leveraging enterprise AI. Established in 2005, Box simplifies operations for prominent global entities such as JLL, Morgan Stanley, and Nationwide. Our headquarters is located in Redwood City, CA, with additional offices across the United States, Europe, and Asia. Joining Box means becoming an integral part of a transformative journey. Content is the lifeblood of organizational workflows, encompassing the vast array of files and data exchanged daily—ranging from contracts and invoices to employee records and marketing materials. Our mission is to infuse intelligence into content management, enabling our customers to revolutionize their workflows. With the convergence of AI and enterprise content, the potential to reshape collaborative work has never been more significant, and at Box, you will be at the forefront of this monumental change. Why We Need You Box Shield is our cutting-edge security solution designed to protect information flow and mitigate content-related risks efficiently—without impeding productivity. It features classification-based security controls to preempt data loss and AI-driven, context-aware alerts to identify potential data theft and malicious content. Box Shield enables secure hybrid work from any location and device, providing essential tools for large-scale content protection. The Shield team seeks passionate Machine Learning Engineers dedicated to developing enterprise security features capable of handling complex scenarios robustly and intuitively. Our mission is to safeguard the integrity of enterprise information while ensuring a seamless user experience, making Box the preferred choice for secure Cloud Content Management. Shield enables clients to secure their content by detecting malware, compromised accounts, and unusual behaviors, equipping Administrators with timely information to avert potential issues. As a member of our diverse, fast-paced team primarily focusing on backend development, you will collaborate with others to create innovative capabilities that help our customers protect their Box content.

Join PubMatic, a premier global digital advertising platform dedicated to offering transparent advertising solutions to publishers, media buyers, commerce firms, and data owners. Our mission is to empower these stakeholders to leverage the open internet for superior business results.Since our inception in 2006, we have championed the belief that data-driven decision-making is the future of digital advertising. We equip content creators with tools to optimize their advertising revenue, enabling them to reinvest in diverse, high-quality content that meets consumer demands across multiple screens and formats.About the Role:We are in search of an accomplished Lead Machine Learning Engineer with extensive experience in performance advertising to architect high-performance solutions that ensure campaign success. Your strategic insight into Performance DSP workflows will be critical as you craft innovative algorithms and systems to optimize real-time bidding strategies, surpass advertiser KPIs, and enhance ROI, ultimately driving increased performance-driven expenditure on the PubMatic platform.What You'll Do:Design and develop advanced features for our performance platform, enhancing ad formats including interstitial video, rewarded video, and display ads.Shape PubMatic’s product offerings to enhance auction efficiency, aligning with Performance DSP workflows and ensuring seamless integration for higher ROI and increased DSP investment on our platform.Utilize machine learning and data-driven insights to improve bid efficiency, campaign performance, and ad delivery strategies.Collaborate with cross-functional teams including Product, Engineering, and the CTO team to ensure that technical solutions align with Performance DSP objectives.Enhance attribution tracking, user value modeling, and ML-driven performance optimizations to maximize campaign effectiveness.

About the Role and TeamAs a Research Engineer on the ML Systems team at Character.AI, you will engage in pioneering work on advanced machine learning training and inference systems. Your expertise will be instrumental in optimizing the performance and efficiency of our GPU clusters, as well as creating innovative technologies that enhance leading consumer AI models. Your contributions will ensure our systems can handle over 20K queries per second in production utilizing large language models. At Character.AI, your creativity and skills will be pivotal in ushering in an era where AI technology becomes a daily companion rather than just a tool.What You'll DoThe ML Systems team focuses on researching and deploying systems that maximize GPU usage for AI-driven products.In this role, you will collaborate across teams and technologies to enhance our training performance and inference runtime, directly influencing the conversational experiences of millions of users daily.Examples of projects you may work on include:Crafting efficient Triton kernels and optimizing them for our specific models and hardwareDesigning prefix-aware routing algorithms to elevate serving cache hit ratesTraining and distilling large language models to reduce latency while maintaining accuracy and engagementBuilding a robust and scalable distributed RLHF stack that supports model innovationsDeveloping systems for efficient multimodal (image and video generation) model training and inferenceWho You AreHolding a PhD (or equivalent) in a relevant field with research experienceProficient in writing clear and maintainable production system codePossessing a strong grasp of contemporary machine learning methodologies (including reinforcement learning and transformers)Demonstrating a proven track record of remarkable research or innovative ML systems projectsComfortable developing model code (in PyTorch) for training or inference tasksNice to HaveExperience in training large models in distributed environments utilizing PyTorch distributed, DeepSpeed, or MegatronFamiliarity with GPUs and collectives (training, serving, debugging) and writing kernels

Join Liftoff, a premier AI-driven performance marketing platform designed for the mobile application ecosystem.Our comprehensive technology stack empowers app marketers to effectively acquire and retain premium users while enabling publishers to optimize revenue through both programmatic and direct demand strategies.With innovative solutions such as Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, we support over 6,600 mobile businesses across 74 countries in various sectors, including gaming, social media, finance, e-commerce, and entertainment. Established in 2012 and headquartered in Redwood City, CA, Liftoff boasts a diverse and global workforce.About the Revenue Engine TeamThe Revenue Engine team focuses on understanding the core economics of the mobile ad tech marketplace, exploring demand elasticity and competitive dynamics. Comprising machine learning engineers, software developers, and data analysts, we formulate theories, validate them through experiments and analyses, and implement production systems that enhance performance for Liftoff and its clients.Your Role as a Machine Learning Engineer:Develop statistical models and production systems to harmonize advertiser performance with business objectives.Optimize parameters, assess internal competition, and model dynamic environments.Design and conduct experiments to substantiate theories governing the mobile ad tech sector.Create applications focused on advertiser budget retention and growth, optimal margin distribution, and innovative bidding strategies.Collaborate with a team of exceptional engineers from diverse backgrounds and peers across the organization (e.g., Operations, GTM).Utilize strong communication skills (both verbal and written) to articulate statistical and machine learning concepts to technical and non-technical audiences.Embrace an “engineering excellence” culture through cutting-edge tools, risk-based testing, explainable systems, and rigorous design/code reviews.

Be a Pioneer in the Future of Home Robotics with Us!At Sunday, we are on a mission to revolutionize home life by developing personal robots that liberate individuals from mundane tasks. Our ambitious vision is to make versatile robots accessible to everyone, giving families back precious time to enjoy what they love.After 18 months of dedicated team-building, securing investments, and validating our groundbreaking technology, we are looking for enthusiastic individuals to join us in our next growth phase. If you’re eager to contribute your expertise to the cutting edge of robotics, we invite you to connect with us.Your Role and ResponsibilitiesIn our quest to create home robots, we are addressing one of the most significant challenges in robotics: achieving dexterous and safe mobile manipulation in dynamic environments. This requires us to innovate across all levels of the robotics stack. By training advanced AI models that utilize our extensive, high-quality real-world data collection system, we aim to create a new category of consumer hardware that enhances everyday life. As a valued member of our small, dynamic team, you will significantly influence our technology and product development, advancing the field of embodied AI and ultimately restoring countless hours to our users.As a Machine Learning Research Engineer, you will focus on developing the software and algorithms that empower our robots to perform complex manipulation tasks within home settings. You'll harness our unique in-the-wild data collection capabilities and our expanding fleet of robots to continuously enhance functionalities and robustness across various tasks and environments.Key ResponsibilitiesDesign and implement cutting-edge robot learning algorithms for manipulation and control tasks.Utilize large-scale real-world data to create adaptable robot behaviors.Manage the complete process from task definition and data curation to model training, evaluation, and deployment on robots.Collaborate with a multidisciplinary robotics team to design a consumer-friendly personal robot.Develop maintainable, high-quality code for both research and production environments.Your Qualifications3+ years of experience in machine learning focused on robotics or related fields.Strong programming skills in languages such as Python, C++, or similar.Expertise in developing and deploying machine learning models.Familiarity with robotics frameworks and tools.A passion for innovation and a collaborative spirit.

Company Overview:Dyna Robotics is at the forefront of the robotics revolution, creating versatile robots powered by our cutting-edge proprietary embodied AI foundation model. Our technology excels in generalization and self-improvement across diverse environments, delivering exceptional commercial-grade performance. With deployments spanning multiple industries, our frontier model stands as a leader in generalization and performance metrics.Founded by visionary entrepreneurs Lindon Gao and York Yang, who previously achieved remarkable success with Caper AI, alongside former DeepMind research scientist Jason Ma, Dyna Robotics has successfully raised over $140 million from top-tier investors like CRV and First Round. We are poised to redefine the robotic automation landscape, and we invite you to join us in shaping the future of AI-driven robotics!Discover more at dyna.coPosition Overview:We are on the lookout for a highly skilled Machine Learning Infrastructure Engineer to join our dynamic team. You will be instrumental in scaling our machine learning training platform, focusing on designing, implementing, and maintaining comprehensive ML infrastructure. Your expertise will accelerate model iteration and enhance training performance within our expansive GPU ecosystem. Engage with advanced high-performance computing systems, optimize distributed training environments, and ensure system reliability as we grow.

About the RoleWe are in search of experienced Machine Learning Infrastructure Engineers who excel at designing, constructing, and maintaining robust training and serving infrastructures for machine learning research initiatives.Key ResponsibilitiesDeliver comprehensive infrastructure support for our machine learning research and product development.Develop tools for diagnosing cluster issues and addressing hardware failures effectively.Oversee deployments, manage experiments, and provide ongoing support for our research activities.Optimize GPU allocation and utilization for both training and serving environments.QualificationsA minimum of 4 years of experience in supporting infrastructure within machine learning environments.Proven experience in creating diagnostic tools for ML infrastructure issues.Familiarity with cloud platforms, such as Compute Engine, Kubernetes, and Cloud Storage.Hands-on experience working with GPUs.Preferred QualificationsExperience managing large GPU clusters and high-performance computing/networking.Knowledge in supporting large language model training.Familiarity with machine learning frameworks like PyTorch, TensorFlow, or JAX.Experience in GPU kernel development.

About DexterityAt Dexterity, we envision a future where robotics revolutionizes our world. Our innovative technology empowers individuals to engage in creative and problem-solving roles, allowing robots to take on repetitive and physically demanding tasks.We are focusing on warehouse automation, addressing the urgent need for intelligent and resilient supply chains that impact millions globally. Dexterity's advanced robotics systems are capable of picking, moving, packing, and collaborating with human-like precision and adaptability. Our solutions are both software-driven and hardware-agnostic, successfully handling over 100 million goods in production. Our dedication to our clients drives every decision; we continually ask ourselves how we can empower our customers to achieve the unimaginable with our robotic solutions.As one of the fastest-growing companies in robotics, Dexterity is backed by prominent investors like Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. Our diverse team thrives on a culture of passion, trust, and commitment. Join us at Dexterity to help bring intelligent robots to life!About the RoleIn the role of Senior/Staff Machine Learning Engineer, you will tackle a variety of complex challenges related to robotic task and action planning. You will apply machine learning techniques to resolve intricate sequential decision-making problems that necessitate understanding the physical world and its dynamics. You will keep up with the latest advancements in imitation learning, reinforcement learning, and other relevant domains to enhance Dexterity's foundation in Physical AI. Additionally, you will oversee the updating and scaling of our existing ML pipelines to cater to more scenarios and boost accuracy.Our robotic solutions harness data from various sensors, including RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry, and human input. You may engage in sensor fusion and state estimation techniques to better inform the planning algorithms using this multimodal sensory data.You will collaborate closely with teams responsible for data platforms, physics simulations, and robot operations to find efficient ways to enhance the internal world model of our systems.As Dexterity continues to expand its range of algorithmic challenges with new robotic applications, you will play a pivotal role in our innovative journey.

About the RoleJoin Character as a Staff Software Engineer on our AI Platform, where you will engage in a dynamic array of projects at the intersection of software engineering and AI data. Your role will initially focus on three pivotal areas:Assist our research team by creating the essential tools and datasets to train cutting-edge models.Activate our "data flywheel" by developing data pipelines and collaborating closely with ML researchers to ensure our AI models are continually refined and aligned with human feedback.Enhance our data infrastructure, utilizing technologies such as Spark, Beam, and GCP.

About DatologyAIAt DatologyAI, we understand that models are only as good as the data they are trained on. A significant portion of training compute is often wasted on data that is redundant, irrelevant, or even detrimental, leading to subpar models that incur higher training and deployment costs. Our innovative data curation suite automates the curation and optimization of petabytes of data, ensuring that your models receive the best training data possible.Training on our curated data can lead to an astonishing reduction in training time and costs, making it possible to achieve 7-40x faster training depending on the specific use case. Moreover, it can enhance model performance as if you had utilized over 10x more raw data without escalating training costs. Our approach facilitates smaller models with fewer than half the parameters to outperform larger counterparts while using significantly less compute during inference, ultimately lowering deployment costs. For further insights, explore our recent blog posts on text models and image-text models.With a total of $57.5 million raised across two funding rounds, including Seed and Series A, our esteemed investors feature Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI pioneers like Geoff Hinton, Yann LeCun, and Jeff Dean. Our team stands at the forefront of this research domain, equipped with deep expertise in both data research and engineering, simplifying the data curation process for anyone aiming to train their model on their data.This position is located in Redwood City, CA, where we maintain an in-office presence four days per week.

About DatologyAIAt DatologyAI, we believe that the quality of training data is vital for the performance of AI models. Our innovative data curation suite is designed to automatically optimize petabytes of data, ensuring that your models are trained on the most relevant and effective datasets. By utilizing our curated data, users can experience training times that are 7-40 times faster and enhance model performance as if they had trained on more than 10 times the amount of raw data, all while reducing deployment costs significantly.With $57.5 million raised across two funding rounds, our esteemed investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and AI pioneers such as Geoff Hinton, Yann LeCun, and Jeff Dean. Our expert team is dedicated to simplifying the complex task of data curation, empowering anyone to train their models effectively on their own data.This position is located in Redwood City, CA, and we work in-office four days a week.

About the RoleAs a Software Engineer specializing in Machine Learning, you will collaborate closely with product teams, data scientists, and data platform engineers to identify, design, and execute applied ML models and infrastructure. Your responsibilities will encompass model optimization, data pipeline development, model training, and serving infrastructure for one of the fastest-growing native AI consumer applications available today. You will focus on the implementation of our ML backend systems that enhance discovery features, including recommendations, ranking, and search functionalities, while also supporting new AI-generated content formats in our product and optimizing existing systems.

About Dexterity:At Dexterity, we envision a future where robotics revolutionizes industries and enhances lives. Our cutting-edge technology empowers individuals to engage in innovative and inspiring roles by allowing robots to take on repetitive and physically demanding tasks.We are pioneering warehouse automation, addressing the critical need for intelligent and resilient supply chains that impact millions globally. Dexterity’s comprehensive robotics systems are capable of picking, moving, packing, and collaborating with human-like dexterity, awareness, and learning capabilities. Our software-driven, hardware-agnostic solutions have successfully handled over 15 million items in production. Our customer-centric approach drives every decision we make, as we focus on empowering our clients to achieve unprecedented levels of productivity with our robotic solutions.Dexterity stands out as one of the fastest-growing companies in robotics, supported by renowned investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. Our diverse, multidisciplinary team thrives in a culture of passion, trust, and commitment. Join us at Dexterity and contribute to making intelligent robots a reality!

Join Revolution Medicines, Inc. as a Principal Machine Learning Scientist focusing on Drug Discovery Analytics. In this pivotal role, you will lead the application of advanced machine learning techniques to drive innovations in drug discovery. Collaborating with a talented team of scientists and researchers, you will develop and implement analytical models that significantly enhance our understanding of drug interactions and efficacy.

Join Revolution Medicines as a Senior Machine Learning Scientist specializing in Drug Discovery Analytics. In this pivotal role, you will leverage advanced machine learning techniques to enhance our drug discovery processes, collaborating closely with cross-functional teams to drive innovative solutions in biotechnology.