Job Details

VALT Health is building the future of health tracking: an any‑device health intelligence layer that turns raw data into actionable insights.

We've only been in this structure for ~2 months, but we're already scaling fast.

We're looking for college students (or the rare high school student who is ridiculously skilled) who want to continue helping build our company and receive a significant ownership role.

Location: Remote-friendly. That said, the openness to move to the Bay Area during the summer for in-person collaboration is strongly preferred.

Who we want: Ambitious college students or anyone exceptionally skilled

Commitment: ~25 hours/week (multi-year commitment preferred).

Equity: 1% – 2.5% (role/experience dependent).

Compensation: Equity-only for at least the first 6 months (then equity + cash as we grow).

Mindset: Hungry, independent, ready to ship and learn at startup speed.

Responsibilities:

• Train models to predict anomalies in user health data based on our internal bio research
• Build our AI/ML architecture for scalability and ease of development
• Design, train, and evaluate models for vision, language, and numerical tasks (eg. CNNs, transformer-based NLP)
• Improve model accuracy, robustness, and latency through data curation and heavy optimization.

Must-have qualifications

• Deep understanding of core machine learning models and architectures.
• Proven experience building and deploying models on real-world datasets.
• Strong grounding in optimization techniques for performance and reliability.

Nice-to-haves

• Experience with Agentic workflow
• langchain/langraph
• Knowledge of RAG systems.
• Demonstrated AI security and safety practices
• MCP-style modular tool architecture

To be considered, you must email your application to us.

Please send an email to ...@valtwear.com with:

• Your resume
• Your GitHub
• A short note on why you want to contribute to building VALT