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Chief Scientist - Robotics jobs in United States
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Deepreach.ai · 4 hours ago

Chief Scientist - Robotics

DeepReach.ai is a fast-moving robotics startup focused on real-world robot deployment and task-specific model training. They are seeking a Founding Chief Scientist to lead the development of next-generation robot learning systems, owning the technical vision across various aspects of robot learning and deployment.
Information Technology & Services

Responsibilities

Robotics Learning Strategy: Define the long-term architecture for robot learning across manipulation, task execution, and real-world deployment environments
Data & Teleoperation Intelligence: Shape how real-world robot data is generated, validated, and turned into scalable learning signals
Model → Deployment Feedback Loop: Establish closed-loop systems connecting deployment data, evaluation, and continuous model improvement
Research to Production: Drive the conversion of cutting-edge robotics research into reliable, production-ready systems
Technical Leadership: Build and lead the core robotics ML and data science organization from 0 → 1 while defining the company’s long-term technical moat
Strategic Roadmap: Set multi-year technical roadmaps, balancing research depth with product velocity

Qualification

RoboticsMachine LearningComputer VisionControl SystemsRobot manipulationImitation learning/RL3D perceptionTeleoperation systemsSim-to-Real pipelinesReal robotic systemsProduction-grade systemsArchitectural decisionsPublicationsLeadership

Required

Education: PhD or equivalent experience in Robotics, Machine Learning, Computer Vision, or Control Systems
Technical Expertise: Strong experience in at least 3 of the following: Robot manipulation, Imitation learning/RL, Multimodal/VLA-style models, 3D perception, Teleoperation systems, or Sim-to-Real pipelines
Systems Experience: Proven track record of building real robotic systems (beyond simulation) and training models using real sensor and behavior data
Shipment History: Experience shipping production-grade ML or robotics systems
Leadership: Ability to make critical architectural decisions across hardware, software, and ML stacks

Preferred

Experience deploying robots in production environments outside of research labs
Expertise in dual-arm or dexterous manipulation
Experience designing evaluation benchmarks for complex robot tasks or building large-scale robotics datasets
Strong track record of publications in top-tier robotics/ML conferences

Benefits

Significant Equity

Company

Deepreach.ai

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DeepReach is a full-stack robotics deployment partner, covering procurement, integration, operations, data, and continuous optimization in real-world environments.

Funding

Current Stage
Early Stage
Company data provided by crunchbase