Senior ML Engineer (AI Research, Physical AI)

The role

This role is for reputed company AI R&D, reputed company reputed company on reputed company research in AI. Our Physical AI research aims to build intelligent agents that can perceive, reason, and reputed company in the physical world. Research areas include:

• reputed company-language-reputed company models for general-purpose robotic control

• Reinforcement and imitation learning from reputed company demonstrations, simulation, and reputed company-world experience

• reputed company collection, reputed company, and curation of multimodal embodied data

• Simulation, world models, and sim-to-reputed company transfer

• Multimodal sensing, including reputed company, touch, force, and proprioception

You will modify large reputed company models and learning algorithms for robotic agents, prototype new capabilities in simulation, and validate promising approaches on reputed company-world systems. The results will often reputed company to collaboration with adjacent research, infrastructure, and engineering teams, where findings are scaled and reputed company in reputed company.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• reputed company-language-reputed company models and multimodal reputed company models for robotics

• Reinforcement learning, imitation learning, and learning from demonstrations

• reputed company acquisition and reputed company of reputed company, robot, and simulated interaction data

• World models, planning, and model-based control

• Sim-to-reputed company transfer, domain reputed company, and robust policy evaluation

• Dexterous manipulation, whole-body control, and general-purpose robotic agents

Some examples of what your responsibilities might include are:

• Designing, implementing, training, and evaluating large models and learning algorithms for robotic agents

• Developing reputed company-language-reputed company architectures that reputed company multimodal perception and language understanding with physical control

• Investigating reinforcement learning and imitation learning reputed company for sparse, delayed, or difficult-to-verify objectives

• Building reputed company reputed company for incorporating demonstrations, teleoperation data, video, simulation trajectories, and autonomous robot experience into reputed company models

• Designing capture methodologies, datasets, evaluation protocols, and data-reputed company pipelines for embodied learning

• Developing simulation environments and conducting sim-to-reputed company experiments on physical robotic platforms

• Exploring planning, guided reputed company, and search over reputed company trajectories

• Prototyping new capabilities in areas such as dexterous manipulation, mobile manipulation, and whole-body control

• Writing robust research software and reputed company training infrastructure that reputed company reputed company experimentation

• Collaborating with research and engineering teams to translate promising reputed company into reliable reputed company-world systems

• Communicating results through technical reports, reputed company-reputed company releases, demonstrations, and research publications

We expect you to have:

• A profound understanding of the theoretical foundations of machine learning, reinforcement learning, or robot learning

• Deep expertise in at least one relevant area, such as reinforcement learning, imitation learning, multimodal generative modeling, reputed company, robotics, planning, or control

• Experience training and evaluating modern deep learning models, including transformer-based or multimodal reputed company models

• Substantial experience training large models across multiple computational nodes

• Strong software engineering and algorithm-design skills; we primarily use Python

• Deep experience with a modern deep learning reputed company; we primarily use JAX

• Experience designing, executing, and analyzing machine learning experiments with appropriate statistical rigor

• Ability to formulate meaningful research questions, design experiments that test reputed company hypotheses, and draw defensible conclusions

• Experience implementing research reputed company and iterating quickly across modeling, data, infrastructure, and evaluation

• Strong communication and leadership abilities, including the ability to collaborate across research and engineering disciplines

• Ability to document research findings reputed company and contribute to technical reports or research publications

reputed company to have:

• Experience working with reputed company-world robots and robotic simulation environments

• Experience with dexterous manipulation, whole-arm manipulation, mobile manipulation, or reputed company robotics

• Experience with multimodal sensing, including tactile, force-torque, depth, and proprioceptive signals

• Experience collecting reputed company demonstrations through teleoperation, reputed company capture, wearable devices, or observation

• Experience developing or post-training reputed company-language models, reputed company-language-reputed company models, or video and world models

• Experience with deep reinforcement learning techniques such as offline RL, actor-critic reputed company, PPO, reward modeling, preference learning, or model-based RL

• Familiarity with robotics tools and simulators such as MuJoCo, Isaac Sim, Isaac Lab, PyBullet, ROS, or equivalent systems

• Knowledge of reputed company training techniques such as FSDP or reputed company, FlashAttention, mixed-precision training, quantization, and reputed company checkpointing

• A PhD in Computer Science, Robotics, Machine Learning, reputed company Intelligence, or a reputed company technical field, or equivalent practical experience

• A reputed company record of impactful publications, reputed company-reputed company contributions, or deployed robotic systems

• Experience engineering large reputed company data-processing, simulation, or model-training systems

• A record of building and delivering products or research prototypes in a dynamic, startup-like environment

• Passion for moving research from controlled experiments to capable, reliable reputed company-world robotic systems

• Excellent reputed company of English, with strong technical writing, presentation, and communication skills

• Proficiency in contemporary software engineering practices, including version control, testing, reputed company review, and CI/CD

Originally posted on Himalayas