AI Research Intern - Optexity

Summary

Optexity is a product-driven research lab building clinical reasoning and computer use models using proprietary data from hospitals and clinics. The AI Research Intern will conduct open-ended research, build and evaluate clinical reasoning and computer-use models, own training and evaluation pipelines, and publish technical findings.

Responsibilities

• Work with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product direction
• Build clinical reasoning models that improve physician and clinic workflows
• Design and publish benchmarks that expose where current LLMs fall short on real clinical reasoning
• Evaluate computer-use models on real-world tasks
• Own the training and evaluation pipeline end to end
• Take open-ended problems from question to working model, with minimal predefined structure
• Write up findings as technical reports and papers

Skills

• Has real research experience — can define a problem, not just execute a known one
• Has trained models before (not just fine-tuned APIs) and is fluent in Python
• Master's or higher in ML or a related field
• Energized by open-ended problems and ambiguity
• Wants to publish, not just ship
• Takes ownership without needing to be guided
• Genuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptions
• Prior founder or founding-engineer experience
• Strong product taste
• Worked on healthcare datasets before
• Built LLM-powered products before
• Ambitions to start your own company someday — we'll support that path

Qualifications

Must Haves

• Has real research experience — can define a problem, not just execute a known one
• Has trained models before (not just fine-tuned APIs) and is fluent in Python
• Master's or higher in ML or a related field
• Energized by open-ended problems and ambiguity
• Wants to publish, not just ship
• Takes ownership without needing to be guided
• Genuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptions

Nice to Haves

• Prior founder or founding-engineer experience
• Strong product taste
• Worked on healthcare datasets before
• Built LLM-powered products before
• Ambitions to start your own company someday — we'll support that path

Benefits

• Visa sponsorship available
• Direct, daily work with the founders, plus exposure to board and investor conversations
• Real ownership of technical direction, with scope that grows as the company does
• Full compute and data to do the work properly
• Meaningful equity