Atlas ML Software Engineer - Large Scale Behavior Cloning
- Actively participate in ongoing R&D initiatives, collaborating closely with Research Scientists and Infrastructure Engineers.
- Develop tools to query and gain insights into data, training, and testing performance metrics.
- Analyze and track failures in experimental robot runs.
- Work with robot simulation software to develop scenarios, tests, and data collection tools.
- Build internal tools and platforms that accelerate the collect, train, and evaluate loop.
- Develop software that gives researchers and engineers immediate visibility into policy performance, data quality, and collection gaps.
- Work across hardware and simulation environments to support evaluation and rapid experimentation.
- Maintain and improve the code repository, ensuring its ongoing maintenance and improvement to meet evolving needs (CI/CD, testing, deployment).
- 3+ years of experience developing software for robotics, ML infrastructure, or related fields.
- Strong proficiency in Python, familiarity with C++
- Experience building internal tools, dashboards, or GUI applications.
- Familiarity with ML workflows including training pipelines, experiment tracking, and dataset management.
- Experience working on real-world robotics systems, whether in industry, research, or academic settings.
- Experience with data analysis and visualization.
- Experience with cloud infrastructure, databases, Docker, and job orchestration.
- Strong communication and collaboration skills.
- MS in Robotics, Computer Science, Machine Learning, or a related field.
- Familiarity with behavior cloning, diffusion policies, or VLA/VLM architectures.
- Prior experience building or contributing to evaluation pipelines for ML or robotics systems.
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