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Join Our Talent Network - Senior/Staff AI Algorithms Engineer

Dexterity· Engineering – Platform
Apply on company site
Redwood City, CA$170k - $225kFTPosted 3mo ago

About the role

Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization applied to robotics, focusing on novel, high-impact problems in warehouse robotics and physical AI.

Responsibilities

  • Design and prototype novel algorithms at the intersection of learning, prediction, and planning, with a focus on solving real product challenges
  • Apply reinforcement learning, geometric reasoning, or optimization-based methods to tackle long-horizon manipulation, sensor fusion, or decision-making under uncertainty
  • Translate open-ended problems into clear technical approaches, balancing modeling intuition with real-world constraints like latency, reliability, and partial observability
  • Build and test your algorithms across simulation and real-robot environments
  • Collaborate closely with product leads, software engineers, and roboticists to bring ideas into fruition
  • Contribute to internal knowledge, tooling, and experimentation pipelines that level up the entire team

Qualifications

  • PhD or equivalent experience in machine learning, robotics, optimization, applied math, or a related field
  • Strong mathematical foundation in probability, statistics, optimization, reinforcement learning, imitation learning, and foundation models
  • Ability to turn theoretical insights into practical, testable code using Python and PyTorch (or similar frameworks)
  • Curiosity, initiative, and a bias toward building and debugging in real systems
  • Clear communication skills and an ability to collaborate across engineering and research boundaries

Skills

Required:Machine learningPythonPyTorch

Benefits

  • Base pay with potential equity grants
  • benefits
  • other incentives
  • Total Rewards philosophy described; access to benefits and wellness resources (as per company policies)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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