About the role#
We are looking for researchers and engineers to bridge the gap between robot foundation models and production deployments. Your work will focus on post-training models and conducting research to improve task performance in both our lab and at real customer sites. We prioritize speed and reliability for our industrial customers.
What you'll do#
- Improve how our robots learn new tasks and execute them quickly and reliably.
- Lead research to improve model robustness and performance for real-world tasks.
- Integrate trained models with our production robotics stack.
- Collaborate with deployment teams to scale models across customer sites.
What you'll need#
- Experience fine-tuning large models for downstream tasks such as imitation learning or reinforcement learning.
- Ability to own research efforts from start to finish with high agency.
- A focus on evaluation, benchmarking, and failure analysis.
- A generalist mindset with an interest in working across the full machine learning stack.
- Interest in seeing robots make an impact in real-world environments.
- Hands-on experience applying machine learning to robotics is preferred.
- An MS or PhD in Computer Science, Machine Learning, Robotics, or a related field is preferred.
Location & details#
- Location: New York, New York.
- Work Modality: On-site.
- Employment: Full-time internship.
- Term: Rolling.
- Compensation: This is a paid position.
- Sponsorship: Not available.
About Ultra
Ultra is a software development company based in San Francisco. It provides an AI advisor tool designed for high school students. The company was founded in 2024. It operates as a privately held organization with a team of 22 employees.
How to get in at Ultra
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