Lead end-to-end ML research, from idea generation to production deployment and monitoring.
Design, implement, and evaluate novel methods for LLM alignment on proprietary clinical data.
Develop and rigorously evaluate approaches for hallucination detection, attribution, and model reliability.
Build and curate high-quality datasets, with a strong emphasis on evaluation design and benchmark integrity.
Critically assess academic literature to identify strong vs weak methods, and translate the best ideas into practice.
Establish best practices for experimental design, including statistically sound evaluation and reproducibility.
Collaborate cross-functionally with engineering to productionize models (MLOps, infra, deployment).
Develop methods for long-context and multimodal modeling (structured + unstructured clinical data).
Mentor other researchers and help raise the bar for research quality across the team.
Contribute to external presence through papers, talks, and recruiting.

Strong track record of ML research, ideally with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.)
Proven ability to distinguish high-quality vs low-quality research, especially in fast-moving areas like LLMs.
Deep understanding of LLM failure modes, particularly hallucinations, and how to evaluate and mitigate them.
Experience designing rigorous evaluation frameworks and building high-quality test datasets.
Strong intuition for dataset quality, bias, and benchmark design (data-centric AI mindset).
Hands-on experience training large-scale deep learning models (multi-GPU / distributed systems).
Deep understanding of modern neural architectures (transformers, SSMs, encoder/decoder models, etc.).
Strong programming skills in Python and ML frameworks such as PyTorch or JAX.
Experience deploying ML models into production systems and monitoring their performance.
Clear and proactive communicator, able to explain complex ideas and critique work effectively.

Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
Remote-First Team – Work from anywhere in the U.S.
Unlimited PTO & 10 Holidays – So you can relax and recharge.
401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

Staff Machine Learning Research Scientist

Key skills