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# Robotics Machine Learning Engineer

- **Company:** RETHINK RECRUIT LLC
- **Location:** San Francisco, CA, United States
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Data Analysis, Computer Vision, Computer Engineering, Extract Transform Load (ETL), Software Debugging, Distributed Computing Environment, Python (Programming Language), Machine Learning, Software Engineering, Reinforcement Learning, Multimodal Learning, Pytorch, Deep Learning
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/robotics-machine-learning-engineer-san-francisco-ca--e8e0db03-529c-4190-8ac3-8d0057db9b77

## About the Role

Robotics, Machine Learning, Robotics, Machine Learning, Economics, Product Design, Data Analysis, Computer Engineering, Software Engineering, Data Modeling, * Experience training deep learning models and explaining the decisions behind your experiments

 * Strong Python and practical proficiency with PyTorch, JAX, or an equivalent framework
 * Depth in robot learning or a closely related area such as computer vision, multimodal learning, or sequential decision-making
 * Careful experimental judgment: useful baselines, meaningful comparisons, and an understanding of what limited evaluation data can establish
 * The ability to debug training code, inspect datasets, and work directly with physical systems to test your conclusions

NICE TO HAVE

 * Experience deploying learned policies on robots
 * Experience with imitation learning, reinforcement learning, or vision-language-action models
 * Experience with distributed training or building evaluation infrastructure

## Description

You will develop and train models that make robots useful on physical tasks. You will work across model development, training infrastructure, data curation, and evaluation, with direct responsibility for understanding how a change affects behavior on hardware.

The work involves choosing a useful experiment, implementing it, and finding out what the result actually means. When performance stalls, you will investigate the model, the data, and the surrounding system. You will work with software and hardware engineers to separate those causes and decide what to change next.

WHAT YOU'LL DO

 * Train and fine-tune models for robotic perception and behavior, selecting approaches suited to the task and available data
 * Turn research ideas into working implementations; compare architectures and training methods through controlled experiments
 * Curate datasets, investigate data quality, and measure how changes in the training data affect performance
 * Build evaluations with clear success criteria, repeatable procedures, and regression tracking across model versions
 * Run models on physical robots, inspect failures, and work with engineering teams to improve reliability
 * Maintain reproducible training workflows, including data loading, experiment tracking, and efficient use of compute