Machine Learner Researcher — New York, United States

Machine Learning Researcher

We’re looking for the researcher who will make frontier AI safe for real-world medicine!

Are you passionate about making AI safer and more reliable where it matters most? Do you want your research to have a direct impact on patient care?

We are looking for a Machine Learning Researcher to join a fast-growing AI research team and help shape how AI models behave in high-stakes healthcare settings.

About Our Client

Our client is a young, fast-growing research company working at the intersection of artificial intelligence and medicine. Their mission is to make AI systems trustworthy enough to support doctors, researchers and patients, by studying how models reason and act in real clinical situations and building the tools to make them more dependable. The team brings together machine learning researchers and medical professionals, and it is growing quickly.

What will your mission be?

You will design and run research to evaluate, understand and improve how AI models behave in clinical and life-science contexts, making sure they are safe, reliable and aligned with real medical practice.

What will you do day to day?

• Research: design and run experiments on model behavior, safety and alignment.

• Evaluation: build benchmarks, evaluation frameworks and datasets that reflect real clinical scenarios.

• Model improvement: develop and test methods such as fine-tuning, RLHF or other alignment techniques.

• Collaboration: work closely with clinicians and domain experts to turn medical knowledge into research questions.

• Communication: share findings through internal reports, publications and presentations.

What are we looking for?

• A strong background in machine learning, with hands-on experience training, fine-tuning or evaluating large language models.

• Solid programming skills in Python and experience with deep learning frameworks such as PyTorch or JAX.

• Experience designing and running rigorous experiments and analyzing their results.

• The ability to work autonomously in a fast-paced, early-stage environment.

• Clear communication skills and the ability to explain complex results to technical and non-technical audiences.

Nice to have

• A PhD or MSc in Computer Science, Machine Learning, Statistics or a related field.

• Publications at top ML conferences (NeurIPS, ICML, ICLR or similar).

• Experience in AI safety, alignment, interpretability or model evaluation.

• Experience with healthcare, clinical or life-science data.

Who will be a great fit?

A curious, rigorous and mission-driven researcher who wants their work to make AI safer for patients and clinicians. Someone who enjoys ambiguity, takes ownership and thrives in a small, high-impact team.

If this sounds like you, we would love to hear from you!