40 deep learning engineer opportunities in San Carlos updated today
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· Page 1 / 2Job Description : Develop sim2real reinforcement learning (RL) training pipelines for humanoid robots. Train and test robot policies via reinforcement learning for in-home humanoid robots. Optimize training pipelines for improved performance and training speed. Modeling of physical systems (includin
Job Description Develop sim2real reinforcement learning (RL) training pipelines for humanoid robots. Train and test robot policies via reinforcement learning for in-home humanoid robots. Optimize training pipelines for improved performance and training speed. Modeling of physical systems (including
Genesis AI in California seeks a robotics engineer to develop and optimize a learning-based robotic manipulation control stack and a teleoperation system with low latency. You will train policies using reinforcement and imitation learning, deploy them, and diagnose bottlenecks in the control pipelin
1X in California seeks a robotics ML engineer to develop sim2real RL training pipelines for humanoid robots, train and test policies in simulation and on hardware, and optimize training speed. You will model physical dynamics, collect and retarget motion data, debug RL policies, and work across Pyth
1X in San Carlos, CA is building simulation environments and real-time infrastructure to accelerate robot learning. You will own the environments and systems that enable the AI team to iterate safely and at scale. The role focuses on narrowing the sim-to-real gap, enhancing fidelity, and scaling syn
Job Description : Develop sim2real reinforcement learning (RL) training pipelines for humanoid robots. Train and test robot policies via reinforcement learning for in-home humanoid robots. Optimize training pipelines for improved performance and training speed. Modeling of physical systems (includin
Job Description Develop sim2real reinforcement learning (RL) training pipelines for humanoid robots. Train and test robot policies via reinforcement learning for in-home humanoid robots. Optimize training pipelines for improved performance and training speed. Modeling of physical systems (including
This role is about building and improving the training systems that teach humanoid robots to move and handle tasks using reinforcement learning. It asks for a master's level background, about a year of hands-on robotics and machine learning work, solid physics modeling, and comfort writing both Pyth
Genesis AI in California seeks a robotics engineer to develop and optimize a learning-based robotic manipulation control stack and a teleoperation system with low latency. You will train policies using reinforcement and imitation learning, deploy them, and diagnose bottlenecks in the control pipelin
1X in California seeks a robotics ML engineer to develop sim2real RL training pipelines for humanoid robots, train and test policies in simulation and on hardware, and optimize training speed. You will model physical dynamics, collect and retarget motion data, debug RL policies, and work across Pyth
Halodi Robotics in California seeks a robotics ML engineer to develop sim2real reinforcement learning (RL) training pipelines for humanoid robots used in in-home settings. You will train and test robot policies via RL, aiming to optimize training pipelines for performance and speed, and model physic
1X in San Carlos, CA is building simulation environments and real-time infrastructure to accelerate robot learning. You will own the environments and systems that enable the AI team to iterate safely and at scale. The role focuses on narrowing the sim-to-real gap, enhancing fidelity, and scaling syn
<p>Genesis AI in California seeks a robotics engineer to develop and optimize a learning-based robotic manipulation control stack and a teleoperation system with low latency. You will train policies using reinforcement and imitation learning, deploy them, and diagnose bottlenecks in the contro
1XJob Description : Develop sim2real reinforcement learning (RL) training pipelines for humanoid robots. Train and test robot policies via reinforcement learning for in-home humanoid robots. Optimize training pipelines for improved performance and training speed. Modeling of physical systems (includin
1X in San Carlos, CA is building simulation environments and real-time infrastructure to accelerate robot learning. You will own the environments and systems that enable the AI team to iterate safely and at scale. The role focuses on narrowing the sim-to-real gap, enhancing fidelity, and scaling syn
1X in San Carlos, CA is building simulation environments and real-time infrastructure to accelerate robot learning. You will own the environments and systems that enable the AI team to iterate safely and at scale. The role focuses on narrowing the sim-to-real gap, enhancing fidelity, and scaling syn
This role is about building and improving the training systems that teach humanoid robots to move and handle tasks using reinforcement learning. It asks for a master's level background, about a year of hands-on robotics and machine learning work, solid physics modeling, and comfort writing both Pyth
<p>1X in San Carlos, CA is building simulation environments and real-time infrastructure to accelerate robot learning. You will own the environments and systems that enable the AI team to iterate safely and at scale.</p><p>The role focuses on narrowing the sim-to-real gap, enhancin
Halodi Robotics in California seeks a robotics ML engineer to develop sim2real reinforcement learning (RL) training pipelines for humanoid robots used in in-home settings. You will train and test robot policies via RL, aiming to optimize training pipelines for performance and speed, and model physic
1X designs and manufactures bipedal humanoid robots engineered to execute household chores and personal assistance tasks safely, according to company statements. This role focuses on building and improving training systems for reinforcement learning that teach robots to move and handle tasks, transf
Mountain View, California, United States Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with rob
Join to apply for the Deep Learning Engineer role at GenBio AI Base pay range $170,000.00/yr - $260,000.00/yr Headquartered in Silicon Valley, we are a newly established start‐up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of
About the Role The Azure Automated ML (AutoML) team is hiring for an experienced Deep Learning Engineer in Sunnyvale, CA to work on algorithms for Computer Vision. As the world embraces pervasive intelligence, products and services are increasingly becoming data and intelligence-driven. This shift r
Job Overview Join Dyneti as part of the founding engineering team. You will have the opportunity to work closely with the CEO to build new features and roll out new products - all in the deep learning space. We're Looking for Someone Who Enjoys significant ownership over user-facing product Can work
Deep Learning Engineer I'm a paragraph. Click here to add your own text and edit me. It's easy. Just click "Edit Text" or double click me to add your own content and make changes to the font. I'm a great place for you to tell a story and let your users know a little more about you. LOCATION San Fran
Deep Learning Engineer Mountain View, California, United States Job Description 2-4 years of Deep Learning experience. Role Description Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision
Hayden AIAbout Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile pe
Mountain View, California, United States Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with rob
Imagry | Autonomous DrivingSenior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep-vision-based perc
$73,000 – $115,000/year
Estimation confidence: High
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