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Tech Stack
Tools & technologiesDistributed SystemsPythonPyTorch
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning researchLLM alignmenthallucination detectionmodel reliabilityexperimental designevaluation frameworksdataset qualitydeep learning modelsneural architecturesprogramming in Python
Soft Skills
critical assessmentmentoringcollaborationcommunicationproactive communication