In-House Memory Developer

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.

Join Team CATHEXIS, where we transform the government contracting landscape through swift responses, extensive expertise, and innovative problem-solving. Our foundational strengths lie in superior program and project management, data analytics, and audit services—all anchored by our commitment to operational excellence.We recognize and respect the hard work you’ve put into your career, and we strive to make each day better than the last. At CATHEXIS, we embrace an all-in mindset, collaboratively fostering an environment that upholds our shared values while supporting individual aspirations. Our core values include Respect, Engagement, Customer Service, Integrity, Teamwork, and Excellence. We believe that success flourishes when we listen empathetically, uphold ethical standards, and create a fun, rewarding environment where everyone’s strengths are celebrated.We are seeking a passionate Data Scientist / Machine Learning Engineer to enrich our team. In this role, you will collaborate directly with data scientists, software engineers, and subject matter experts to define new analytical capabilities that empower our federal clients in their decision-making and digital transformation journeys.Note: We are actively building a pipeline of qualified candidates for future opportunities. If your qualifications match our anticipated needs, a member of our Talent Acquisition team may reach out when a relevant role becomes available or for preliminary discussions.

DatologyAI develops tools that improve machine learning model performance by focusing on the quality of training data. Many organizations invest heavily in processing data that can be redundant or irrelevant, which often leads to costly models that do not perform well in real-world scenarios. To address this, DatologyAI offers a data curation suite that automatically selects and optimizes large datasets. With this approach, organizations can significantly reduce training times, sometimes by a factor of 7 to 40, while training smaller models that outperform much larger ones. Curated data can also lower deployment costs and, in some cases, allow models to achieve results similar to having access to ten times more raw data, using less than half the parameters. The company has raised $57.5 million across two funding rounds. Backers include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and prominent AI researchers such as Geoff Hinton, Yann LeCun, and Jeff Dean. The team brings together expertise in data optimization research and practical engineering to make advanced data curation widely accessible. Role overview This Research Scientist position is based in Redwood City, CA. The team collaborates in the office four days a week.

About DatologyAIAt DatologyAI, we believe that the quality of training data is paramount to building effective models. Unfortunately, a significant portion of training compute is squandered on data that has already been learned, is irrelevant, or even detrimental, leading to suboptimal models that are costly to train and deploy.We have developed an advanced data curation suite that automates the curation and optimization of petabytes of data, enabling the creation of high-quality training datasets. By utilizing curated data, you can expect training times to be reduced by 7-40 times depending on the use case, achieve model performance equivalent to training on over 10 times more raw data without incurring extra costs, and empower smaller models with fewer than half the parameters to outperform larger counterparts while significantly lowering deployment costs.With a total funding of $57.5M from notable investors like Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and Amazon, as well as AI luminaries including Geoff Hinton and Yann LeCun, our team is at the forefront of data research and engineering, dedicated to simplifying the process of data curation for anyone aiming to train their own models.This position is located in Redwood City, CA, and requires in-office attendance four days a week.

Join Dexterity as a Senior/Staff Algorithms Engineer and tackle diverse challenges in robot task and action planning. Utilize advanced techniques from machine learning, search algorithms, and both discrete and continuous optimization to address complex sequential decision-making problems that involve reasoning about the physical world and its dynamics. Stay updated with the latest advancements in reinforcement learning, task and motion planning, and related areas to enhance Dexterity's foundational technology in physical AI.Dexterity's cutting-edge robotic systems integrate data from various sensors, such as RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry, and human input. You will have the opportunity to develop sensor fusion and state estimation techniques to effectively utilize this multimodal sensory data for planning algorithms.Collaboration will be key as you work with the data platform, physics simulation, and robot operations teams to devise innovative methods for refining the system’s internal world model.As Dexterity expands its range of algorithmic challenges with new robotic applications, your contributions will include optimizing packing algorithms for constructing taller, denser, and more stable structures with various objects, addressing logistics tasks for inventory movement and sorting in warehouses, and developing models that comprehend physics and geometry for tasks of varying durations.In addition to algorithmic development, you will be tasked with creating high-quality, maintainable, and efficient software, leveraging your strong software design expertise to guide broader software development within the team.About Dexterity:At Dexterity, we are passionate about leveraging robotic technology to create positive changes in the world. Our innovative solutions empower individuals to focus on creative and problem-solving tasks while robots manage repetitive and physically demanding work.We are at the forefront of warehouse automation, addressing the critical need for smarter, more resilient supply chains that impact countless lives and businesses globally. Our full-stack robotic systems possess the capability to pick, move, pack, and collaborate with human-like skill, awareness, and learning. With a software-driven, hardware-agnostic approach, our systems have successfully picked over 15 million goods in production. Our customer-centric philosophy drives every decision we make – always asking how we can better serve our clients.

Join Dexterity as a Senior Computer Vision Engineer where you will be pivotal in developing advanced Computer Vision code and Machine Learning models tailored for innovative applications. In this position, you will assess our existing systems, identify their limitations, and apply your expertise in Computer Vision to create cutting-edge ML models. Your role will also include enhancing and scaling our existing ML pipelines to accommodate diverse scenarios and elevate accuracy.You will utilize your knowledge in semantic segmentation and instance segmentation, staying abreast of the latest advancements in these domains and implementing them using frameworks such as PyTorch and TensorFlow. Proficiency with RGBD datasets and point clouds is crucial, as is experience in ML and CV related to autonomous vehicles or robotics. A strong foundation in writing optimized code in C++ and Python is essential. Additionally, familiarity with cloud infrastructure to create robust training and serving pipelines is a significant aspect of this role.At Dexterity, our applications demand low-latency inference that approaches real-time performance, and you will be tasked with constructing high-performance models and serving architectures. While knowledge of open-source solutions is advantageous, we require candidates to have experience developing their own models and establishing training pipelines. You will oversee the complete process of data gathering, augmentation, labeling, and curation, as well as evaluating performance, optimizing model quality, training, deploying, and troubleshooting models in real-world scenarios.About DexterityAt Dexterity, we are passionate about the transformative potential of robotics. Our groundbreaking technology empowers people to engage in creative, inspiring, and problem-solving roles by allowing robots to take on repetitive and physically demanding tasks. We are focusing on warehouse automation, where the demand for smarter, more resilient supply chains influences millions of lives and businesses worldwide. Dexterity's comprehensive robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have successfully managed the picking of over 15 million goods in production. Our customer-centric approach drives every decision we make, always asking how we can enable our customers to achieve more with our robotic solutions.

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 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.

Join the Team at DatologyAIAt DatologyAI, we're revolutionizing the way AI models are trained. Our cutting-edge data curation suite is designed to automatically optimize vast amounts of data, ensuring that models learn efficiently without the waste associated with irrelevant or redundant information.Training on our curated data can expedite the training process, making it 7 to 40 times faster depending on the specific use case, while also enhancing model performance significantly, akin to training on over 10 times more raw data—without incurring additional costs. This means smaller models with fewer parameters can outperform their larger counterparts, resulting in remarkable cost savings during deployment.With a successful fundraising history of $57.5M across Seed and Series A rounds, backed by renowned investors such as Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and Amazon, we stand at the forefront of data research and engineering. Our team is dedicated to simplifying data curation for anyone aiming to enhance their own models.This position is based in Redwood City, CA, where we collaborate in-office four days a week.

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.

About DatologyAI DatologyAI focuses on improving AI model training by addressing the quality and relevance of training data. Many traditional training processes waste compute power on data that is already learned or not useful, which drives up costs and lowers model quality. To solve this, DatologyAI has built a data curation suite that automatically selects and optimizes large datasets. This approach helps teams build stronger AI models by: Increasing training speed by 7 to 40 times, depending on the use case Boosting model performance to match results seen with over 10 times more raw data Enabling smaller models (with less than half the parameters) to outperform larger ones, while using less compute for inference and reducing deployment costs DatologyAI’s progress has attracted support from top investors such as Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI leaders including Geoff Hinton and Yann LeCun. The company has raised $57.5M over two funding rounds. The team works from an office in Redwood City, CA, with four in-office workdays each week.

About the Role and TeamAs a Research Engineer on the Post-Training team at Character.AI, you will immerse yourself in the dynamic field of fine-tuning AI models. Your primary focus will be on enhancing their performance and ensuring adherence to the highest standards of quality and efficiency. Your contributions will play a crucial role in our innovative advancements in AI technology, fostering an era where technology transcends mere tools and becomes a reliable companion in our everyday lives. Your creativity and expertise will serve as a driving force for transformative change in an AI-driven future.The Post-Training team specializes in evolving our robust pretrained language models into intelligent and engaging products.In your role as a Post-Training Researcher, you will collaborate with cross-functional teams and utilize our technical stack to enhance model performance and refine training methodologies, including data, compute, and algorithms. You will have the opportunity to shape the conversational experiences of millions of users daily.

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 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 Revolution Medicines as a Scientist II specializing in Drug Metabolism and Pharmacokinetics (DMPK), where you will play a crucial role in advancing our innovative therapeutic programs. In this position, you will collaborate with a dynamic team of scientists to design and execute experiments that contribute to the development of cutting-edge treatments. Your expertise in DMPK will help us understand how our drug candidates behave in biological systems, ensuring their efficacy and safety.

Join Adverum Biotechnologies, Inc. as a Senior Scientist specializing in Drug Product development. In this pivotal role, you will leverage your expertise in pharmaceutical sciences to contribute to our mission of advancing innovative gene therapies. You will collaborate closely with cross-functional teams to drive the formulation and development of high-quality drug products, ensuring compliance with regulatory standards and industry best practices.

Join our team as a Senior Quality Engineer and play a pivotal role in enhancing the quality assurance processes within our organization. You will be responsible for developing and implementing robust quality standards, conducting thorough testing, and collaborating with cross-functional teams to ensure product excellence.

About Hammerhead AIAt Hammerhead AI, we are pioneering the future of artificial intelligence through innovative orchestration, tackling one of the most critical barriers to AI's power accessibility. Our state-of-the-art platform enhances data center power infrastructure to maximize AI token generation within existing electrical constraints, eliminating the need for new power plants or grid extensions. With our team already optimizing over 8 gigawatts of mission-critical power worldwide, we are seizing a $64 billion per year market opportunity while significantly reducing the environmental impact of AI infrastructure.As part of our dynamic team, you will: Engage at the confluence of AI, energy, and computing to create the next generation of AI infrastructure Collaborate with experts in modern reinforcement learning, AI, IoT, and IIoT software, as well as infrastructure technologies Play a vital role in fostering a more efficient and sustainable future for AI computation. Join a company at the forefront of advanced data center design and operations Enjoy competitive compensation, equity, and benefits in a thriving, mission-driven environment. Learn from a seasoned team with a proven track record of building and selling successful startups.Role OverviewAs a Reinforcement Learning Engineer, you will be the architect behind the core intelligence of Hammerhead’s ORCA platform. Reporting directly to the Head of AI/Reinforcement Learning Engineering, you will be responsible for designing, training, and deploying Orchestrated RL Control Agents that serve as the brain of our system, enabling real-time optimization of power and computational resources across physical data centers. This position is tailored for a hands-on expert passionate about translating advanced RL research into practical applications for complex industrial systems. You will play a crucial role in developing models to control physical assets such as cooling systems and power distribution units, driving substantial efficiency improvements in AI workloads.Key ResponsibilitiesDesign, train, and implement reinforcement learning algorithms for power and compute resource optimization.Develop and maintain RL models that interact with physical data center assets.Collaborate with cross-functional teams to integrate RL solutions into existing infrastructure.Continuously monitor and enhance the performance of deployed RL models.Stay abreast of the latest developments in reinforcement learning and AI technologies.