Machine Learning Researcher

What You'll Do:

• Own a multimodal ML work-stream from problem definition through experimentation, evaluation, deployment, and iteration.
• Translate clinical and product needs into clear ML objectives, data strategies, model approaches, and success criteria.
• Build and evaluate modern ML systems, including transformers, self-supervised learning, weak supervision, detection, localization, and segmentation.

What We're Looking For:

• Strong applied experience in computer vision, NLP, or deep learning with a track record of independently designing experiments and turning findings into working systems.
• Deep hands-on ability in Python and PyTorch, with strong intuition for model architecture, data quality, and evaluation.
• Typically 4+ years of relevant applied ML research or engineering experience, and an MS, PhD, or equivalent in a related quantitative field.

What Success Looks Like:

• You'll own and advance a meaningful research track from ideation through production, building credible data and evaluation strategies.
• You'll become a trusted technical partner to researchers, engineers, product leaders, and clinicians, helping raise the quality of research and technical decision-making.

Our Working Style:

• We're a remote-first company with a highly collaborative, mission-driven culture that values direct communication, intellectual honesty, and strong ownership.
• This role is U.S. remote, with San Francisco Bay Area preferred, and we encourage people from a wide range of backgrounds to apply.