Research Engineer, Robotics Data
San Francisco, CA - USA
Job Summary
Were looking for a Research Engineer for our Robotics team to develop the datasets and evals that make robotics data useful for training and evaluating embodied AI systems. Youll translate open-ended research needs into data specifications build methods to validate data and run experiments to understand which data and structures improve model performance.
Research the data needs of robot learning and physical AI systems and turn them into concrete dataset and evaluation specifications
Define data schemas annotations ground truth and quality standards across robotics data types
Design collection and review protocols that external data providers can execute reliably
Build tools and validation workflows to audit datasets identify quality issues and give providers actionable feedback
Run experiments and analyze model behavior to understand how data quality coverage and structure affect performance
Work with HUDs research and engineering teams and when needed with data vendors and buyers to improve robotics data offerings
You may be a good fit if you have:
Experience in robotics robot learning embodied AI or closely related multimodal research
Proficiency in Python and experience building data processing analysis or evaluation tools
Experience turning research questions into dataset specifications experiments and measurable quality criteria
Strong understanding of what makes robotics data useful for training or evaluationand where it can be misleading
Attention to detail and the ability to spot subtle errors coverage gaps and failure modes in complex data
Experience building research tools or pipelines without a fully prescribed roadmap
Strong candidates may also have:
Worked with robot trajectories demonstrations video sensor data simulation or other multimodal robotics datasets
Experience with imitation learning reinforcement learning or vision-language-action models
Worked in unstructured problem spaces and take ownership from early research through production deployment
Early-stage startup experience and strong communication skills for collaboration across teams and time zones
We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they dont meet all criteria.
Team Size: 25 people currently mostly full-time in-person but some remote.
Our team: Our team includes 4 International Olympiad medalists (IOI ILO IPhO) serial AI startup founders and researchers with publications at ICLR NeurIPS etc.
Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.
Employment: Full-time.
Location: We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.
Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.
Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.
Competitive compensation
100% covered top-of-the-line medical dental and vision from Blue Shield of CA (US employees)
Lunch and dinner when youre in the office (in-office employees)
Company-wide holiday break (Christmas Eve to New Years Day) on top of PTO and paid holidays
Other perks including an Equinox membership 401k and commuter benefits (US employees)
Unlimited* access to tokens for ChatGPT Claude Code Cursor etc. *By unlimited we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.
Due to high volume we may not actively respond to every application but feel free to contact us at or elsewhere if we missed your application!
Required Experience:
IC