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Chief Scientist in Robotics - Founding Leadership Role

DeepReachSan Jose, California, United States
On-site Full-time $25K/yr - $32K/yr

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Experience Level

Senior

Qualifications

REQUIREMENTSEducation: PhD or equivalent experience in Robotics, Machine Learning, Computer Vision, or Control Systems. Technical Expertise: Strong background in robotics and machine learning methodologies. Experience in Leadership: Proven track record of leading technical teams and driving innovation. Research Acumen: Demonstrated ability to translate research insights into practical applications.

About the job

CHIEF SCIENTIST — ROBOTICS

JOB TITLE: Chief Scientist — Robotics (Founding Leadership Role)

LOCATION: Onsite (San Jose, CA)

COMMITMENT: Full-time / Founding Team

COMPENSATION: $25,000 - $32,000 + Significant Equity

ABOUT DEEPREACH

DeepReach is an innovative robotics startup dedicated to practical robot deployment and specialized model training. We operate at the convergence of teleoperation, deployment data, and embodied AI, facilitating the transition of robots from laboratory demonstrations to dependable, production-ready systems for our clients. Our goal is to transform robots from mere prototypes into reliable assets that businesses can rely on every day.

ABOUT TALEX. AI

Talex.ai empowers global experts to influence the future of human-AI collaboration. We bridge multilingual and multicultural professionals with premier AI research and product teams, enhancing the communication quality, creativity, and cultural intelligence of AI systems. In this key founding role, we are collaborating with DeepReach to discover a technical visionary to spearhead the next evolution of Physical AI.

THE ROLE

We are seeking a Founding Chief Scientist to guide the creation of next-generation robot learning systems for real-world manipulation and deployment. This influential position will set the technical vision for robot learning models, real-world data generation pipelines, teleoperation/demonstration learning systems, and task-specific model training for deployed robots.

KEY RESPONSIBILITIES

  1. Robotics Learning Strategy: Craft the long-term architecture for robot learning encompassing manipulation, task execution, and real-world deployment scenarios.
  2. Data & Teleoperation Intelligence: Influence how real-world robot data is generated, validated, and transformed into scalable learning signals.
  3. Model → Deployment Feedback Loop: Create closed-loop systems that link deployment data with evaluation and ongoing model enhancement.
  4. Research to Production: Propel the transition of cutting-edge robotics research into reliable, production-ready systems.
  5. Technical Leadership: Build and lead the core robotics ML and data science organization from the ground up, defining the company’s long-term technical advantage.
  6. Strategic Roadmap: Develop multi-year technical roadmaps, balancing research depth with product delivery speed.

About DeepReach

DeepReach is at the forefront of robotics innovation, focusing on the practical deployment of robotic solutions and advanced model training techniques. Our mission is to empower businesses with reliable robotic systems that enhance operational efficiency and productivity.

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