Senior ML Research Engineer - Healthcare AI, Equity

Latent; San Francisco (CA); On-site; USD 225,000 - 300,000; Full time

Benefits offered by this job

Competitive compensation

Meaningful equity

Ownership in a small team

Job summary

A healthcare technology firm in San Francisco is looking for an experienced Research Scientist specializing in Machine Learning to advance clinical intelligence models. You will own research projects from start to finish, impacting real patient outcomes by developing novel modeling approaches. Candidates should have a strong foundation in machine learning, experience with PyTorch, and the ability to work successfully in ambiguous environments. Competitive compensation, including equity, is offered in a fast-paced, high-impact role.

Qualifications

• Strong foundation in machine learning and deep learning.
• Experience driving ML research or modeling work from concept to validation.
• Hands-on experience with PyTorch or similar frameworks.
• Ability to work independently in a fast-moving environment.

Responsibilities

• Own research initiatives from problem formulation to evaluation.
• Develop novel architectures and training methods using patient data.
• Design rigorous methodologies for model evaluation.
• Collaborate with clinicians to define problem formulations.

Skills

Machine learning

Deep learning

PyTorch

Independent problem-solving

Technical judgment

High-stakes decision-making

Job description

A healthcare technology firm in San Francisco is looking for an experienced Research Scientist specializing in Machine Learning to advance clinical intelligence models. You will own research projects from start to finish, impacting real patient outcomes by developing novel modeling approaches. Candidates should have a strong foundation in machine learning, experience with PyTorch, and the ability to work successfully in ambiguous environments. Competitive compensation, including equity, is offered in a fast-paced, high-impact role.