Responsibilities
- Serve as the technical AI lead across portfolio companies, working directly with founders and engineers to architect and build AI-native products.
- Translate business and product concepts into technical AI roadmaps using first-principles thinking.
- Rapidly prototype, test, and iterate on machine learning and generative AI models across diverse use cases (e.g., vision, text, multi-modal).
- Evaluate and integrate open-source models, fine-tune foundation models, and design custom training pipelines when needed.
- Stay ahead of the curve on frontier AI advancements, sharing insights that shape company bets and technical decisions.
Requirements
- Have a PhD (or left one behind) in CS, AI, or a related field with 2–8 years of industry experience.
- Have built and shipped ML systems—ideally at startups or modern tech-forward companies.
- Are deeply comfortable with modern AI tooling and infrastructure (e.g., PyTorch, JAX, Hugging Face, LangChain, Ray, etc.).
- Have experience with both traditional ML and generative AI (e.g., LLMs, diffusion models, RAG pipelines, fine-tuning).
- Think like a founder and solve problems from first principles.
- Based on the East Coast
