About this role
This position suits a researcher or engineer with a background in robotics, robot learning, or multimodal research who wants to build datasets and evaluations for embodied AI systems in San Francisco, Singapore, or remotely. HUD is hiring a full-time Research Engineer for its Robotics team to design data specifications and run experiments that improve model performance.
Role Overview
HUD seeks a Research Engineer for the Robotics division to focus on creating datasets and evaluation frameworks for embodied AI training. The professional in this position translates open-ended research objectives into concrete data guidelines, builds auditing tools, and analyzes how data structure impacts model capability. The organization operates with approximately 25 team members and maintains offices in San Francisco and Singapore alongside remote options.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
HUD develops infrastructure for AI data to ensure information benefits creators and remains trustworthy for labs training models. Backed by YC and top venture capitalists with $16M in funding, the growing enterprise serves startups, frontier labs, and Fortune 500 corporations.
How to Apply
To apply for this opportunity, please visit the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Research Engineer role?
The role can be based out of offices in San Francisco or Singapore, or performed remotely by candidates who can manage a 70% to 80% working hour overlap with either timezone.
What is the salary range for this position?
Base salaries vary by location, ranging from $135,000 to $230,000 in San Francisco and major US cities, $100,000 to $175,000 in Singapore, and $80,000 to $175,000 for the rest of the world.
Is visa sponsorship available?
Yes, relocation and visa support are provided for strong full-time candidates moving to the US or Singapore.
What does the interview process look like?
The evaluation process consists of two technical interviews followed by a 2 to 3 day work trial.
What technical skills are required?
Candidates need experience in robotics, robot learning, embodied AI, or multimodal research, along with Python proficiency and experience building data processing, analysis, or evaluation tools.
