In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.
\nYour responsibilities will include:
\nIdeally, you have:
\nNice to have:
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_dab43521-cfa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4618065005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000-$225,000 USD","x-skills-required":["Python","TypeScript","Node.js","React","C++","ROS/ROS2","simulation environments","AV systems","distributed systems","workflow orchestration","cloud infrastructure","databases","data processing"],"x-skills-preferred":["robotics hardware platforms","computer vision","SLAM","motion planning","imitation learning","autonomous vehicle data","lidar technologies","3D data processing","ML model deployment","serving frameworks","teleoperation systems","VR interfaces","workflow orchestration systems"],"datePosted":"2026-04-18T15:59:33.174Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, React, C++, ROS/ROS2, simulation environments, AV systems, distributed systems, workflow orchestration, cloud infrastructure, databases, data processing, robotics hardware platforms, computer vision, SLAM, motion planning, imitation learning, autonomous vehicle data, lidar technologies, 3D data processing, ML model deployment, serving frameworks, teleoperation systems, VR interfaces, workflow orchestration systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d6fc00c5-564"},"title":"Software Engineer, Robotics","description":"We're seeking a skilled Software Engineer to join our Robotics business unit, focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. As a key contributor, you'll own and architect large-scale data processing pipelines, build ML training and fine-tuning pipelines, and develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation.
\nIn this role, you'll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You'll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.
\nTo succeed, you'll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.
\nWe're looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_d6fc00c5-564","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4612282005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript/Node.js","React","Concurrent and real-time systems","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing at large scale"],"x-skills-preferred":["C++","Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment and serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:59:19.712Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina; Uruguay"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript/Node.js, React, Concurrent and real-time systems, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing at large scale, C++, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment and serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2da35265-f56"},"title":"Machine Learning Research Engineer - Robotics","description":"We're seeking a Machine Learning Research Engineer to join our Robotics business unit. As a key contributor, you'll conduct applied research in Robotics and develop ML pipelines for training and fine-tuning on data collected by Scale. In this role, you'll advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation.
\nKey responsibilities include: Collaborating closely with Robotics customers to drive the industry forward in using VLA data Developing ML pipelines to train/fine-tune models using Scale's data Conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning Developing novel methods for evaluating VLA models, including new robotics industry benchmarks Partnering with cross-functional stakeholders and Scale's customers to improve data collection Collaborating with product teams to bring ML outcomes to Scale's platform
\nYou'll have: Practical experience building training VLA models and/or building robotics data 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models PhD or equivalent experience in Machine Learning or Robotics A track record of published research in robotics Experience conducting data collection and performing evaluations Strong written and verbal communication skills and the ability to work with cross-functional teams and customers Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy
\nNice to haves: Experience working with robotics hardware platforms (robotic arms, perception systems, etc.) Experience deploying machine learning models on robotic systems in the field Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_2da35265-f56","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4600908005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$248,800-$311,000 USD","x-skills-required":["Machine Learning","Robotics","Computer Vision","Embodied AI","Sim-to-Real","Imitation Learning","Reinforcement Learning","Vision Language Actions Models"],"x-skills-preferred":["Robotics Hardware Platforms","Deploying Machine Learning Models","Teleoperated or Human-Driven Data"],"datePosted":"2026-04-18T15:58:56.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Robotics, Computer Vision, Embodied AI, Sim-to-Real, Imitation Learning, Reinforcement Learning, Vision Language Actions Models, Robotics Hardware Platforms, Deploying Machine Learning Models, Teleoperated or Human-Driven Data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":248800,"maxValue":311000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef6605f2-fe0"},"title":"Software Engineer, Robotics","description":"We're looking for a skilled Software Engineer to join our Robotics business unit. As a key contributor, you'll build production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.
\nYour responsibilities will include:
\nIdeal candidates will have:
\nNice to have:
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_ef6605f2-fe0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4655050005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","Node.js","C++","React","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing"],"x-skills-preferred":["Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment","Serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:58:47.535Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, C++, React, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment, Serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7896f519-fc9"},"title":"Research Scientist, Safety and Alignment for Humanoid Robotics","description":"We're seeking a Research Scientist to join our Robotics team, whose mission is to build embodied AI responsibly to benefit people in the physical world. As a Research Scientist, you will design, implement, train, and evaluate large models and algorithms for humanoid robots. Your areas of focus will include algorithmic and model development to improve a robot agent's understanding of its own embodiment and VLA capabilities, learned policies for appropriate responses around people, and responses in atypical situations such as actuator faults. You will also work on Human Robot Interaction, write software to implement research ideas, and leverage your expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, and more.
\nTo succeed in this role, you will need a PhD in a technical field or equivalent practical experience, knowledge of the latest in large machine learning research, and experience working with real-world robots. Expertise in using large datasets with deep neural networks to make real robots useful is also an advantage.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_7896f519-fc9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7576917","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$141,000 - $202,000 + bonus + equity + benefits","x-skills-required":["PhD in a technical field or equivalent practical experience","Knowledge of the latest in large machine learning research","Experience working with real-world robots","Research track record in one or more of the following topics: Humanoid Whole Body Control, Vision Language Action models; Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning and Reinforcement Learning, Sim2Real Transfer, Alignment Techniques"],"x-skills-preferred":["Humanoid Whole Body Control","Vision Language Action models","Motion Planning","Force Control","AI Safety","Diffusion Policies","World Models","Imitation Learning and Reinforcement Learning","Sim2Real Transfer","Alignment Techniques"],"datePosted":"2026-03-31T18:25:50.361Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, New York, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in a technical field or equivalent practical experience, Knowledge of the latest in large machine learning research, Experience working with real-world robots, Research track record in one or more of the following topics: Humanoid Whole Body Control, Vision Language Action models; Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning and Reinforcement Learning, Sim2Real Transfer, Alignment Techniques, Humanoid Whole Body Control, Vision Language Action models, Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning and Reinforcement Learning, Sim2Real Transfer, Alignment Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":141000,"maxValue":202000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f3d5bc25-c76"},"title":"Research Scientist, Safety and Alignment for Humanoid Robotics","description":"At Google DeepMind, we're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. We're looking for Research Scientists to join the Robotics team whose mission is to 'Build embodied AI responsibly to benefit people in the physical world.'
\nOur team is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models. As a Research Scientist, you will design, implement, train, and evaluate large models and algorithms for humanoid robots. You will make breakthroughs and unlock new humanoid safety capabilities, including algorithmic and model development to improve a robot agent's understanding of its own embodiment and VLA capabilities.
\nYou will write software to implement research ideas and iterate quickly. You will leverage your expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots, and more.
\nYou will work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals. You will generate creative ideas, set up experiments, and test hypotheses. You will report and present research findings clearly and efficiently both internally and externally.
\nTo be successful as a Research Scientist at Google DeepMind, we look for PhDs in technical fields or equivalent practical experience. You should have knowledge of the latest in large machine learning research and experience working with real-world robots. Expertise with a subset of the following topics would be an advantage: Humanoid Whole Body Control, Vision Language Action models, Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning, and Reinforcement Learning.
\nThe US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_f3d5bc25-c76","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7576917","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$141,000 - $202,000 + bonus + equity + benefits","x-skills-required":["PhD in a technical field","Knowledge of large machine learning research","Experience working with real-world robots","Humanoid Whole Body Control","Vision Language Action models","Motion Planning","Force Control","AI Safety","Diffusion Policies","World Models","Imitation Learning","Reinforcement Learning"],"x-skills-preferred":[],"datePosted":"2026-03-16T14:41:46.344Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, New York, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in a technical field, Knowledge of large machine learning research, Experience working with real-world robots, Humanoid Whole Body Control, Vision Language Action models, Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning, Reinforcement Learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":141000,"maxValue":202000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e627f176-87a"},"title":"Senior Research Engineer - AI Bots","description":"We are looking for a Senior Research Engineer to join the Intelligent Agents research vector to create the next generation of game AI. Our work centers on the latest technologies, including Reinforcement Learning, Language Models, and Imitation Learning.
\nWhat you'll do
\nAs a Research Engineer at SEED, you will:
\nWhat you need
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_e627f176-87a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Senior-Research-Engineer-AI-Bots/212320","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["game AI","Reinforcement Learning","Language Models"],"x-skills-preferred":["Imitation Learning","open-source","conferences"],"datePosted":"2026-01-23T06:06:32.129Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stockholm"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"game AI, Reinforcement Learning, Language Models, Imitation Learning, open-source, conferences"}]}