AI Engineer - Robotics jobs in United States
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Harrison Clarke ยท 1 week ago

AI Engineer - Robotics

Harrison Clarke is an early-stage robotics and ML team focused on building a foundation model for embodied autonomy. The AI Engineer will lead research and development of models that enable robots to perceive, plan, and coordinate in real-world environments.

ConsultingDevOpsHuman ResourcesInformation TechnologyStaffing Agency
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Growth Opportunities
Hiring Manager
Gustas Malukas
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Responsibilities

Lead research that improves embodied agent capability, spanning reinforcement learning, imitation learning, and/or vision-language-action modelling
Build and benchmark large-scale models for perception, decision-making, and control across simulation and real robots
Push sim-to-real transfer and continual learning so behaviours generalize across domains, terrains, sensors, and platforms
Develop memory and long-horizon autonomy primitives, enabling agents to operate coherently over extended missions and shifting objectives
Partner tightly with robotics and systems engineers to integrate research into production-grade stacks, including evaluation, deployment, and observability
Support field tests and data collection to close the loop between research insight and real performance

Qualification

PhD in CSRoboticsMLReinforcement LearningImitation LearningVision-Language ModelsPythonPyTorchJAXTensorFlowBuilding Embodied AgentsSim-to-Real TransferMulti-Agent CoordinationROSReal-Time Control LoopsEmbedded InferenceHigh-Reliability Environments

Required

PhD in CS, Robotics, ML (or equivalent industry research track record) with a strong publication history
Deep expertise in one or more: RL, imitation learning, vision-language models, sim-to-real, world modelling, agentic AI, embodied autonomy
Hands-on experience building and evaluating embodied agents across simulation and physical systems
Strong Python and proficiency in PyTorch, JAX, or TensorFlow
Proven ability to take an idea from concept to a deployed prototype, including evaluation design and iteration

Preferred

Multi-agent coordination and swarm behaviors
ROS, real-time control loops, embedded or edge inference constraints
Experience integrating ML with physical robotic platforms and high-dimensional sensor streams
Background shipping in aerospace, defense, or other high-reliability environments

Benefits

Relocation support is available.

Company

Harrison Clarke

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Harrison Clarke is the Leading Staffing & Recruiting Firm in XOps & Cybersecurity.

Funding

Current Stage
Early Stage

Leadership Team

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Firas Sozan
Founder & CEO
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