Machine Learning Research Engineer

Bracket Bot • San Francisco, CA

19h • Onsite

About The Position

Machine learning should give robots useful capabilities that hold up beyond a single demonstration. We’re hiring a Machine Learning Research Engineer to develop, evaluate, and integrate models for physical robots. You’ll work across research experiments, data, model evaluation, and inference to turn promising ideas into working robot behavior. You’ll collaborate with robotics and software engineers, test on real hardware, and use observed failures to guide the next experiment.

Requirements

• Strong machine learning fundamentals and practical research engineering skills.
• Experience implementing, training, or evaluating models.
• Ability to design useful experiments and reason carefully about results.
• Strong programming skills and comfort working across research and production code.
• Interest in physical robots and willingness to test ideas against real-world behavior.

Nice To Haves

• Experience with robotics learning, computer vision, multimodal models, or control.
• Experience with simulation, robot datasets, or real-world evaluation.
• Experience optimizing inference on constrained hardware.
• Open-source work, research projects, or shipped ML systems that demonstrate your approach.

Responsibilities

• Develop and evaluate machine learning approaches for robot perception and behavior.
• Build data and evaluation workflows that make model performance and failure modes clear.
• Run experiments, compare approaches, and communicate results and tradeoffs.
• Integrate models into robot software and test them on physical hardware.
• Improve inference performance and reliability within practical compute and latency constraints.
• Work with robotics and software engineers to turn research results into useful product capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed