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 lester@valtwear.com with:
- Your resume
- Your GitHub
- A short note on why you want to contribute to building VALT
