Search, Retrieval, and Grounding

• Build search, ranking, retrieval, and grounding algorithms that connect clinical reasoning to trusted medical evidence, partner-specific content, and patient context.
• Improve and evaluate retrieval based on its effect on downstream clinical decisions, not only on document-relevance metrics.

Wherever you're working, you'll own the problem end-to-end, from framing it to measuring whether it worked.

How We Work

• Builder-first org: senior engineers who take ownership of a problem and run with it
• Autonomy here means moving fast on your own judgment and bringing in clinical, product, or engineering partners early when the problem calls for it, not after.

Who You Are

• You are a research-minded engineer who wants to build intelligent systems and is equally serious about understanding and demonstrating their effectiveness.
• You have deep experience in at least two of the following:Agentic architectures, reasoning systems, and tool useModel evaluation, experimentation, and rubric designModel training, fine-tuning, distillation, or reinforcement learningSearch, ranking, retrieval, or RAG
• You have strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation.
• You're comfortable working in domains where ground truth is incomplete, and experts disagree, and where the right move is sometimes to question what "correct" even means before answering.
• You think through the business impact of your work and scope and prioritize solutions accordingly.
• You have strong engineering fundamentals, you build real systems, not just notebooks or one-off experiments.
• You communicate clearly and collaborate well across engineering, clinical, and product teams.

Typically, candidates will have an advanced degree in a quantitative, computational, or scientific discipline and 3+ years of highly relevant applied or research experience in AI/ML; or 7+ years of relevant experience building and researching ML systems, including recent hands-on work with LLMs and generative AI.

We care more about the depth of your work than a specific credential or career path.

Bonus Points

• Published research, patents, meaningful open-source contributions, or novel production ML systems
• Experience building AI systems at an early-stage or high-growth company
• Experience in healthcare, clinical AI, or another regulated or safety-critical domain, including familiarity with clinical workflows, healthcare data, or standards such as HIPAA, FHIR, EHR, and HL7
• Experience with human-feedback systems, RLHF, simulation, or synthetic-data generation
• Work in AI safety, bias detection, calibration, or fairness

What We Offer

• Competitive salary plus meaningful equity with real upside as we grow
• Build AI systems transforming healthcare for millions
• High autonomy and end-to-end ownership on problems that matter
• Work side by side with physician-scientists
• Health benefits
• Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent

Funding and Momentum

Doctronic is backed by Union Square Ventures, Lightspeed Venture Partners, and Abstract Ventures, with three rounds of financing completed between February 2025 and January 2026.

Doctronic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Compensation: $200K - $300K