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Applied Research - Robotics

AI Engineer Full-time San Francisco / New York / Remote / London

Job details

Not specified Salary
San Francisco / New York / Remote / London Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Build and evaluate embodied agents with an external robotics team, using simulation and deployed-robot feedback to improve behavior. The work combines reinforcement learning, world modeling, imitation learning, planning, and multimodal perception to handle long tasks, partial observations, changing scenes, and physical safety and hardware constraints.

Responsibilities - Create simulation and real-world environments for training and evaluation, and measure where policies do and do not transfer between them. - Train agents that can perceive, plan, act, remember, and recover from partial failures or uncertain state. - Combine demonstrations, interventions, offline data, online feedback, and outcome signals in training loops. - Design rewards and evaluations for task success, safety, adaptation, and ongoing improvement without hidden regressions. - Run controlled experiments with meaningful baselines and investigate failures across the model, data, tools, inference, and infrastructure. - Turn effective methods into reusable research, open-source systems, and product capabilities.

Requirements - Relevant experience in robotics, embodied AI, reinforcement learning, imitation learning, control, world models, simulation, computer vision, agent evaluation, or production systems that interact with the physical world. - Hands-on experience building and debugging training, post-training, agent, evaluation, or closely related experimental systems. - Strong experimental judgment, including careful trace inspection, clear failure attribution, and willingness to revise based on evidence. - Strong Python skills and the ability to build artifacts others can run, inspect, and extend. - Ability to own ambiguous problems and keep partners and teammates informed. - Evidence of strong work, such as publications, open-source systems, benchmarks, or shipped products.

Benefits and work setup - Full-time role with flexible work location, including remote options. - Listed cash compensation range of $150,000–$300,000, plus equity incentives. - Visa sponsorship and relocation support, professional development budget, and team off-sites and conference attendance.

Skills detected in the listing

PythonGo
Detected Oct 19, 2026
Last verified Nov 12, 2026

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