Staff Machine Learning Research Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead comprehensive ML research, overseeing everything from concept development to production deployment and performance monitoring.

• Create, implement, and assess innovative techniques for aligning LLMs with proprietary clinical datasets.

• Formulate and rigorously test strategies for detecting hallucinations, ensuring attribution, and enhancing model reliability.

• Construct and maintain high-quality datasets, prioritizing evaluation design and benchmark integrity.

• Evaluate academic literature critically to discern effective methods from ineffective ones, translating the best concepts into practical applications.

• Set forth best practices for experimental design, ensuring statistically sound evaluations and reproducibility.

• Collaborate across teams with engineering to deploy models effectively (MLOps, infrastructure, deployment).

• Innovate methods for long-context and multimodal modeling, integrating both structured and unstructured clinical information.

• Provide mentorship to other researchers, helping to elevate research quality within the team.

• Enhance external visibility through publications, presentations, and recruitment efforts.

⛳️ Requirements

• Demonstrated success in ML research, preferably with publications in prestigious venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.).

• Proven capability to differentiate between high-quality and low-quality research, particularly in rapidly evolving fields like LLMs.

• Thorough understanding of the failure modes of LLMs, especially hallucinations, and strategies for their evaluation and mitigation.

• Experience in crafting rigorous evaluation frameworks and developing high-quality test datasets.

• Strong intuition regarding dataset quality, bias, and benchmark design, reflecting a data-centric AI approach.

• Practical experience in training large-scale deep learning models (multi-GPU/distributed systems).

• In-depth understanding of contemporary neural architectures (transformers, SSMs, encoder/decoder models, etc.).

• Proficient programming skills in Python and familiarity with ML frameworks such as PyTorch or JAX.

• Experience in deploying ML models within production systems and managing their performance monitoring.

• Effective and proactive communicator, capable of elucidating complex ideas and providing constructive critiques.

🏝️ Benefits

• 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.