About the RoleIn the realm of machine learning, pretraining lays the foundation for a general model, while post-training refines that model, enhancing its utility, controllability, safety, and performance in real-world applications. As a Post-Training Research Scientist, you will transform large pretrained robot models into production-ready systems through methodologies such as fine-tuning, reinforcement learning, steering, human feedback, task specialization, evaluation, and on-robot validation at scale. This position offers a unique opportunity for individuals from diverse backgrounds to evolve into full-stack ML roboticists, adept at swiftly identifying challenges across machine learning and control domains. This is where innovative research converges with practical implementation.Your Responsibilities Include:Crafting fine-tuning and adaptation strategies tailored for specific robotic tasks and embodiments.Developing methodologies to enhance reliability, robustness, and controllability of robotic systems.Establishing evaluation frameworks to assess real-world robot performance beyond just offline metrics.Collaborating with ML infrastructure teams to optimize inference-time performance, including latency, stability, and memory usage.Utilizing advanced techniques such as imitation learning, reinforcement learning, distillation, synthetic data, and curriculum learning.Bridging the gap between model outputs and tangible outcomes in the physical world.You Might Excel in This Role If You:Possess experience in fine-tuning large models for downstream applications, including RLHF, imitation learning, reinforcement learning, distillation, and domain adaptation.Have a background in embodied AI, robotics, or real-world machine learning systems.Demonstrate a strong commitment to evaluation, benchmarking, and failure analysis.Are comfortable troubleshooting and debugging across the entire ML stack, from analyzing loss curves to understanding robot behavior.Enjoy rapid iteration and thrive on real-world feedback loops.Aspire to connect foundational models with practical deployment scenarios.About GeneralistAt Generalist, we are dedicated to realizing the vision of general-purpose robots. We envision a future where industries and homes benefit from collaborative interactions between humans and machines, enabling us to achieve more than ever before. Our focus is on building embodied foundation models, starting with dexterity, and advancing the frontiers of data, models, and hardware to empower robots to intelligently engage with their environments.

Are you passionate about the intersection of robotics and artificial intelligence? We are seeking a Robot Learning Generalist to join our innovative team. In this role, you will leverage your expertise to develop and implement advanced learning algorithms that enhance robotic capabilities. You will collaborate with a diverse group of engineers and researchers to push the boundaries of what robots can achieve in real-world scenarios.As a part of our team, you will have the opportunity to work on cutting-edge projects that have a tangible impact on the future of robotics. Your contributions will help shape the development of intelligent systems that can learn from their environment and adapt to new challenges.

About the RoleJoin Generalist as the inaugural full-time member of our talent team, where you will play a pivotal role in shaping our hiring strategy. This multifaceted position encompasses full-cycle technical recruiting, while also addressing various other hiring needs as they arise. Your contributions will directly influence the growth and composition of our highly skilled team.Your Responsibilities Include:Collaborating closely with founders and executive leadership to identify and recruit key talent across all company functions.Managing the entire recruitment process from sourcing candidates to successfully closing offers.Designing and implementing efficient hiring processes and resources tailored to our evolving needs.You May Excel in This Role If You:Possess extensive experience in full-cycle recruiting.Demonstrate a quick aptitude for understanding complex technical positions.Have a strong intuition for assessing talent and interpersonal dynamics.Can adapt recruitment processes to align with the current goals of the team and company.We utilize Ashby as our Applicant Tracking System (ATS).

Exa is at the forefront of technology, developing an innovative search engine tailored for AI applications. Our team is dedicated to creating robust infrastructure that enables us to crawl the web, build cutting-edge embedding models for indexing, and develop high-performance vector databases in Rust. We proudly operate a $5M H200 GPU cluster capable of powering tens of thousands of machines.As a Generalist Research Engineer, you will collaborate across our search and retrieval stack, focusing on crawling, parsing, machine learning performance, and retrieval algorithms. Your contributions will directly enhance the quality of search endpoints for our users.

About the RoleAs a Software Engineer specializing in Robotics Controls, you will take charge of the software that drives our robotic systems. Your role will involve close collaboration with machine learning teams to transform intended actions into smooth, efficient, and safe movements across various robotic embodiments. You will work alongside hardware engineers and partners to ensure optimal performance of systems, dynamics, and components.Key Responsibilities:Develop, implement, and rigorously test the complete real-time control system, ranging from low-level firmware to specifications for each robotic embodiment.Manage various robotic embodiments, from standard industrial collaborative robot arms to custom-designed hardware.Ideal Candidate Profile:Extensive knowledge in rigid body kinematics and robotic control systems.Proven experience in deploying robots in production environments with high reliability standards.Proficiency in high-performance, production-ready programming using Python and C++.Familiarity with kinematics and simulation libraries.Experience with robotic middleware frameworks such as ROS/ROS2/ZCM.

About the RoleAs a Research Scientist focused on Pretraining, you will develop the foundational intelligence layer for robotics. Our mission involves training expansive robot foundation models utilizing vast multimodal datasets that encompass video, proprioception, action traces, language, and beyond. You will lead and execute large-scale training initiatives that imbue our models with groundbreaking general capabilities applicable across various embodiments, tasks, and environments. Your work will involve deeply engaging with all facets of robotic data.Key Responsibilities:Design and conduct extensive pretraining efforts for robot foundation models, employing transformer and diffusion architectures.Establish model architectures, objectives, and training curricula that leverage multimodal robotic data, including vision, action, state, and language inputs.Create scalable data mixtures and sampling strategies to effectively utilize petabyte-scale datasets.Direct data collection operations and explore new avenues for dataset sourcing.Conduct ablation studies to uncover insights regarding scaling laws, data quality impacts, and architectural trade-offs.Collaborate closely with ML Infrastructure and Systems teams to enhance cluster utilization, throughput, and reliability.Transform raw robotic interaction data into versatile model capabilities.Ideal Candidate Profile:Extensive experience in training large transformer or diffusion models at scale, particularly in generative tasks such as language, audio, or video modeling.Proven leadership or significant contribution to multi-node, multi-GPU distributed training initiatives.Experience with scaling laws, optimization dynamics, and understanding large-model failure modes.Strong foundation in PyTorch and comfort in debugging across all layers of the computational stack.Appreciation for empirical rigor paired with rapid iteration speed.Enthusiasm for building general-purpose robot intelligence from foundational principles.About GeneralistAt Generalist, we are dedicated to realizing the potential of general-purpose robots. We envision a future where industries and households thrive through innovative collaborations between humans and machines. Our robots are designed to enhance productivity and facilitate the achievement of more ambitious goals.

We are looking for a passionate and skilled Software Engineer - Generalist to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and implement innovative software solutions that drive our mission forward. If you thrive in a fast-paced environment and are eager to tackle complex challenges, this is the perfect opportunity for you!

Join Momentic and Shape the Future of Quality.At Momentic, we are at the forefront of innovation with our comprehensive quality platform, leveraging cutting-edge AI agents to empower our clients in maintaining quality throughout every phase of the Software Development Life Cycle (SDLC).Leading engineering teams at renowned companies such as Notion, Bilt, Quora, and Xero rely on Momentic to deliver exceptional products. Our platform executes millions of tests daily, ensuring the highest standards of quality.With a vast problem space to explore, we are eager to bring on board several talented software engineers across various tech stacks. Your expertise will help us build and own significant components of our solution.About Our ProductWe are developing an AI-native automated testing platform.Our product is highly integrated into our clients' workflows, serving as a quality gate for every pull request and deployment.We stand out in the market, far surpassing traditional tools like Selenium, Cypress, and Playwright.Experience our platform in action by watching the demo video on our website.About UsWe are a dynamic team of 12 professionals with backgrounds from companies like Robinhood, Retool, WeWork, Qualtrics, and Assembled.Located in San Francisco, we work in a collaborative office environment.Recently, we secured a Series A funding round, raising $15M led by Standard Capital, with participation from our esteemed investors, including Y Combinator, FCVC, and Transpose Platform.Ideal Candidate ProfileYou thrive on tackling complex challenges that involve both product development and technical uncertainties.You possess robust engineering fundamentals, write efficient code, and are aware of your strengths and areas for growth.You prefer hands-on work over meetings and are focused on productivity and delivering results.You excel in environments that grant you autonomy and allow you to manage your own projects.You are located in San Francisco or are willing to relocate, and you value in-person collaboration as part of our company culture.

At Thinking Machines Lab, we are dedicated to empowering humanity by advancing collaborative general intelligence. Our vision is to create a future where everyone can access the knowledge and tools necessary to harness AI for their unique needs.Our diverse team of scientists, engineers, and builders has developed some of the most recognized AI products, including ChatGPT and Character.ai, as well as notable open-weight models like Mistral, and popular open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are currently seeking versatile infrastructure and systems engineers to help construct the foundational systems that support our models and facilitate research and product development. Your contributions will enable teams to create and deliver groundbreaking AI products.As a member of a small, high-impact team, you will be responsible for architecting and scaling the core infrastructure that underpins our operations. This role involves working across the entire technical stack, addressing complex distributed systems challenges, and developing robust, scalable platforms.Infrastructure is vital to our success; it serves as the foundation for every innovation. You will collaborate directly with researchers to expedite experiments, enhance infrastructure efficiency, and derive critical insights from our models, products, and data assets.Note: This is an evergreen role, meaning we are continuously accepting expressions of interest. Due to the volume of applications, there may not always be an immediate match for your skills and experience. However, we encourage you to apply. Applications are reviewed regularly, and we reach out to candidates as new opportunities arise. You may reapply if you gain additional experience, but please wait at least six months between applications. Additionally, we occasionally post specific roles for particular projects or teams, and you are welcome to apply for those as well.What You’ll DoInterviews will be conducted in a general manner, but project selection will consider your interests and experience alongside the needs of the organization. This flexible approach allows us to align talented engineers with the infrastructure teams where they will have the greatest influence and opportunities for growth.Depending on your expertise and interests, you may contribute to various areas such as:Core Infrastructure: Supporting teams that train, research, and ultimately serve AI models by building the infrastructure required for reliable and secure training of frontier models. This may include developing systems and managing large Kubernetes clusters with GPU workloads.

Join Our Team as a Generalist Software EngineerAbout SpellbrushAt Spellbrush, we are dedicated to creating exceptional anime games. As the world's foremost generative AI studio, we proudly developed niji・journey.We are exploring how AI can empower artists to create masterpieces in the complex realm of video games. Our games exemplify a perfect blend of balanced gameplay and a deep appreciation for visual arts. If you have a passion for turn-based strategy games, we encourage you to apply!Your RoleAs we expand rapidly, we are in search of talented generalist engineers to contribute to the development of advanced data pipelines, foundational datasets, and the infrastructure that supports them. If you find excitement in running batch jobs across thousands of GPUs to process petabytes of anime images and videos, this position is for you!Your ImpactYou will shape the processes and infrastructure necessary to transform and make data readily accessible across the organization, whether it involves embeddings, video, bounding boxes, or more. Collaborating with our elite AI researchers will be key to understanding their requirements and designing, building, and monitoring pipelines that not only meet current demands but also scale seamlessly with our growing data volume.

Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.

Hover is revolutionizing property design and protection through innovative technology. Our proprietary AI, built on over a decade of real property data, empowers users to visualize and estimate property transformations effortlessly. Homeowners, contractors, and insurance professionals depend on Hover for accurate, fully measured interactive 3D models—achieved in minutes with just a smartphone scan.At Hover, we are fueled by curiosity and purpose, committed to serving our customers, communities, and each other. We believe that diverse perspectives foster the best ideas, and we are dedicated to nurturing an inclusive, high-performance culture that promotes growth, accountability, and excellence. Supported by top investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide, we are reshaping how people engage with their environments.Why We Want YouAt Hover, 3D data is at the heart of everything we do—from enhancing home visualization to transforming the construction and insurance sectors. We are seeking a Senior Software Engineer with extensive experience in 3D geometry, graphics, and visualization to help us expand the frontiers of immersive, impactful user experiences.As a key member of our 3D & Measurements team, you will play a pivotal role in developing and enhancing the core systems that power our leading products, including our PDF measurements report, Workspace for exteriors, and Virtual Walkthrough for interiors. You will collaborate closely with talented designers and engineers across frontend, backend, graphics, and DevOps to create state-of-the-art 3D solutions that meet our customers' needs.This is an exceptional opportunity to join a world-class team at the intersection of technology, design, and practical application—where your contributions will be recognized and valued daily.

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

About KreaAt Krea, we're at the forefront of developing innovative AI creative tools designed to empower artists and creatives. Our mission is to create technology that enhances human creativity rather than replacing it. We view AI as an exciting new medium, enabling expression across diverse formats, including text, images, video, sound, and 3D. Our commitment is to build advanced, user-friendly tools that harness this medium effectively.Having successfully raised over $83M, we are proud to be backed by esteemed Silicon Valley investors like Andreessen Horowitz and Bain Capital. Our passionate team, comprising musicians, designers, visual artists, and engineers, works collaboratively in our vibrant waterfront office in San Francisco.This RoleWe are seeking an Operations Generalist to manage and optimize the systems that keep Krea thriving. This is a multifaceted role encompassing partnerships, vendor relations, recruitment, people operations, compliance, and legal matters. You will identify areas for improvement, implement effective systems, and ensure their sustainability. If it's operationally necessary at Krea, you'll take the lead on it!Key ResponsibilitiesPartnerships & VendorsLead negotiations with GPU and cloud service providers, overseeing credits, capacity, pricing, and service level agreements (SLAs).Manage relationships with key API and third-party service providers from onboarding to incident management.Stay abreast of the creative AI landscape, identifying potential partnership opportunities.Drive partnerships from initial discussions to integration and launch, collaborating closely with product and engineering teams.Recruiting & PeopleEstablish and oversee the recruitment pipeline, including sourcing, interview processes, and candidate experiences.Enhance Krea's workplace culture by organizing recruiting events and team-building activities.Manage onboarding and offboarding processes to ensure a smooth transition for all employees.Process & OperationsSet up and maintain the company's operating rhythm.Explore new office locations in San Francisco and future expansion areas.Legal & ComplianceEnsure compliance with legal requirements and company policies.

Human Delta is at the forefront of driving AI adoption for American enterprises. Supported by leading venture capital firms such as Susa Ventures, Wischoff Ventures, Afore Capital, Kleiner Perkins Scout Fund, along with contributions from renowned angels in research and finance, we are a dedicated team of engineers committed to building the operational framework that ensures enterprise AI is reliable, secure, and scalable.The Role:You will be an integral part of our team, engaging in product development, engineering initiatives, customer interactions, and company growth. Our platform serves as the backbone for AI adoption in large enterprises, catering to diverse users from tech teams to operational leaders relying on our solutions to gain insights into their systems, processes, and AI functionalities.This position is tailored for individuals eager to push boundaries. One day, you might be designing a workflow engine or prototyping a new feature; the next, you could be conducting customer discovery sessions with a Fortune 50 client, managing company logistics, finalizing insurance details, or attending a conference. You will experience significant ownership and responsibility from your very first day.About the Role:Founding generalist role with substantial equity opportunitiesFull-time position located in San Francisco, CAFlexible work hours to accommodate your scheduleComprehensive health, vision, and dental insurance, with 100% of premiums coveredCollaborative environment with founders and early customersHigh-ownership culture with rapid iteration and feedback cyclesWhat Makes You a Good Fit:Familiarity and comfort with technical systemsA strong sense of agency, ownership, and humilityExcellent intuition for product design and user experienceA thirst for knowledge and a desire to learn continuously!Bonus Points:Experience in operations, customer success, consulting, or product strategyPrior experience in startups or founding rolesIf you are ready to help build the foundation for AI adoption in American enterprises, we invite you to join our team!

Join our dynamic team at Hilberts as a People Generalist, where you will play a crucial role in shaping our company culture and supporting our employees. In this role, you will be responsible for various HR functions, including talent acquisition, employee relations, and performance management. Your expertise will help us foster a productive and inclusive workplace.

At Unlimited Industries, we are driven by a mission to innovate and inspire. If you are deeply passionate about our vision and believe you can contribute uniquely to our team, we want to hear from you! Apply now to share your thoughts on how you can be an invaluable addition to our organization.

Join Gridware as a Mechanical Research Engineer, where your innovative spirit and engineering expertise will contribute to groundbreaking projects in the energy sector. You will be responsible for conducting research, developing prototypes, and collaborating with a team of skilled engineers to advance our technology solutions.