AI Research Intern - Optexity

Pear

$100K — $120K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of research experience with proven ability to define problems creatively
  • Proficient in Python with experience in training models beyond API fine-tuning
  • Master's degree or higher in Machine Learning or a related field
  • Enjoys tackling open-ended problems and working in ambiguous environments
  • Aspires to publish research findings, not just deliver products
  • Demonstrates self-driven ownership of projects
  • Strong preference for startup environments over large tech corporations

Responsibilities

  • Analyze proprietary clinical data to derive insights for model and product development
  • Develop clinical reasoning models to enhance physician workflows
  • Create benchmarks highlighting limitations of current LLMs in clinical reasoning
  • Assess computer-use models against real-world tasks
  • Manage the complete training and evaluation process
  • Transform open-ended questions into functional models with minimal guidance
  • Document findings through technical reports and academic papers

Benefits

  • Access to direct daily collaboration with the founders
  • Opportunity to influence the technical direction significantly as the company evolves
  • Comprehensive computing resources and datasets for effective research
  • Visa sponsorship offered for eligible candidates
  • Equity stake in the company as part of the compensation package
Full Job Description
### Job Title AI Research Intern - Optexity ### Company Name Pear ### Job Description
Why this role exists

Most research roles at this stage hand you a dataset everyone already has and ask you to be marginally better than the last person who tried. Here you get data nobody else has - real clinical reasoning trajectories from practicing physicians - and the room to figure out what to do with it. This is a founding research hire: you'll define the agenda as much as execute it, with direct founder access, real compute, and nothing between an idea and an experiment.

What you'll do
  • 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

Ideal candidate
  • 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 have
  • 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

What you get
  • 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
  • Competitive salary and meaningful equity
  • Visa sponsorship available

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