Deepreach.ai · 20 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 for real-world manipulation and deployment.
Information Technology & Services
Responsibilities
Define the long-term architecture for robot learning across manipulation, task execution, and real-world deployment environments
Shape how real-world robot data is generated, validated, and turned into scalable learning signals
Establish closed-loop systems connecting deployment data, evaluation, and continuous model improvement
Drive the conversion of cutting-edge robotics research into reliable, production-ready systems
Build and lead the core robotics ML and data science organization from 0 → 1 while defining the company’s long-term technical moat
Set multi-year technical roadmaps, balancing research depth with product velocity
Qualification
Required
PhD or equivalent experience in Robotics, Machine Learning, Computer Vision, or Control Systems
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
Proven track record of building real robotic systems (beyond simulation) and training models using real sensor and behavior data
Experience shipping production-grade ML or robotics systems
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
DeepReach is a full-stack robotics deployment partner, covering procurement, integration, operations, data, and continuous optimization in real-world environments.
Funding
Current Stage
Early StageCompany data provided by crunchbase