Machine Learning Engineer-CAM Robotics

Overview

Job Title: Staff ML Algorithms Engineer

Location: Hybrid – San Francisco, California, United States

Salary: $160-220K+ Equity

Skills: Machine Learning, Reinforcement Learning, Geometry, Production ML Systems, Recommenders, Python, C++

About the Engineering Company /

The Opportunity:

Are you passionate about applying advanced machine learning and optimization techniques to solve real-world engineering problems? This hybrid role in San Francisco offers the chance to build production systems that intelligently leverage CAD/manufacturing data and user feedback to deliver smarter tools and workflows. If you thrive working with domain-specific data and creating next-generation recommendation engines, this is a unique opportunity for you.

• Build intelligence systems atop CAD/CAM and manufacturing datasets.
• Develop recommendation engines for tools, process parameters, and operation workflows.
• Design and deploy feedback loops that learn from user edits and human-in-the-loop responses.
• Apply machine learning, reinforcement learning, and numerical optimization to complex engineering challenges.
• Integrate deterministic algorithms with data-driven models for robust solutions.
• Collaborate closely with front-end and back-end engineering teams to deliver production-ready ML systems.

• Hands-on experience with production machine learning systems.
• Expertise in recommenders, ranking models, or optimization techniques.
• Proficiency working with structured and domain-specific engineering data.
• Strong foundations in applied machine learning methodologies.

• CAD/CAM robotics or advanced geometry experience.
• Background in offline reinforcement learning, multi-armed bandits, or preference learning algorithms.
• Development experience using C++ (geometry algorithms) or Python (applied ML).
• Familiarity with multimodal interfaces spanning text, drawing, and action-based inputs.