Chief Scientist - Robotics

CHIEF SCIENTIST — ROBOTICS

JOB TITLE Chief Scientist — Robotics (Founding Leadership Role)

LOCATION Onsite (San Jose, CA)

COMMITMENT Full-time / Founding Team

COMPENSATION 25k-32k + Significant Equity

ABOUT DEEPREACH

DeepReach is a fast-moving robotics startup focused on real-world robot deployment and task-specific model training. We work at the intersection of teleoperation, deployment data, and embodied AI, helping robots move from lab demos to reliable, production-ready systems in customer environments. Our mission is to turn robots from demos into reliable labor units that companies can depend on daily.

ABOUT TALEX.AI

Talex.ai empowers global experts to shape the future of human-AI collaboration. We connect multilingual and multicultural professionals with leading AI research and product teams, helping improve AI systems' communication quality, creativity, and cultural intelligence. For this founding role, we are partnering with DeepReach to identify a technical visionary to lead the next generation of Physical AI.

THE ROLE

We are hiring a Founding Chief Scientist to lead the development of next-generation robot learning systems for real-world manipulation and deployment. This role owns the technical vision across 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: Define the long-term architecture for robot learning across manipulation, task execution, and real-world deployment environments.
2. Data & Teleoperation Intelligence: Shape how real-world robot data is generated, validated, and turned into scalable learning signals.
3. Model → Deployment Feedback Loop: Establish closed-loop systems connecting deployment data, evaluation, and continuous model improvement.
4. Research to Production: Drive the conversion 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 0 → 1 while defining the company’s long-term technical moat.
6. Strategic Roadmap: Set multi-year technical roadmaps, balancing research depth with product velocity.

REQUIREMENTS

1. Education: PhD or equivalent experience in Robotics, Machine Learning, Computer Vision, or Control Systems.
2. 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.
3. Systems Experience: Proven track record of building real robotic systems (beyond simulation) and training models using real sensor and behavior data.
4. Shipment History: Experience shipping production-grade ML or robotics systems.
5. Leadership: Ability to make critical architectural decisions across hardware, software, and ML stacks.

PREFERRED QUALIFICATIONS

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

WHY JOIN US

• Build the Deployment Layer for Physical AI: We focus on the hardest unsolved problem in robotics: making robots work reliably in real production environments.
• Right Market, Right Timing: As the bottleneck shifts from hardware to deployment and real-world learning, you will be building the core solution.
• Own Core Technology From Day One: Define the model, data, and deployment learning loops that will become our long-term technical moat.
• Access to Real-World Data: Work directly with production environments, not just lab datasets or simulated benchmarks.
• Shape the Future of AI Intelligence: Through Talex.ai’s ecosystem, you will collaborate with a global community to enhance AI’s communication and cultural intelligence.