Full-Stack Engineer (Front-End Spike)
This position, like all others posted here, has been manually reviewed by a person without the aid of artificial intelligence, in order to minimize the possibility that it does not match what was advertised.
Description
About the role
About HUD
HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $15M from top VCs and were YC W25.
About the role
We’re looking for a full-stack engineer who spikes in front-end to build a polished user experiences for a high-performing product.
Responsibilities
- Build and ship end-to-end product features across frontend and backend, with a strong emphasis on user experience
- Translate product and design requirements into high-quality, intuitive user interfaces with strong attention to detail
- Optimize applications for performance, responsiveness, and cross-browser compatibility
- Develop and maintain backend services and APIs that power core product functionality
- Talk directly with customers, understand their workflows, and turn messy real world feedback into product improvements
Experience
You may be a good fit if you have:
- Strong experience owning products end-to-end and working across the stack
- Evidence of rapid learning and adaptability in technical environments (e.g., programming competitions)
- A portfolio of shipped products, side projects, or live demos that demonstrate your frontend craftsmanship
- Startup experience in early-stage technology companies with ability to work independently in fast-paced environments
- Familiarity with current AI tools and LLM capabilities
- Strong communication skills for remote collaboration across time zones
Strong candidates may also have:
- A standout portfolio showcasing exceptional UI/UX work, interaction design, or creative engineering
- Experience with reinforcement learning, post-training, or model training workflows
- Familiarity with product analytics tools and experimentation (e.g., A/B testing)
We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.
Team & company details
- Team Size : ~15 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 high revenue growth. We’re scaling profitably and quickly to meet very strong demand.
Logistics
- Employment : Full-time.
- Location : On-site in the San Francisco Bay Area.
- Visa Sponsorship : We provide support for relocation and visas for strong full-time candidates to the US.
- Timeline : Applications are rolling. The process is 2 technical interviews and a 1-week work trial.
What we offer
- Competitive compensation
- 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA
- Lunch and dinner when you’re in the office
- Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
- Other perks including an Equinox membership, 401k, and commuter benefits
- 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 if we missed your application!