Get new jobs for this search by email

About us: We are Lighten, a seed-stage healthcare AI startup that's determined to solve fundamental challenges in driving patient insights from healthcare data. We are well funded by top-tier institutional investors and angels. We are on a mission to reimagine the value of healthcare data to improve patient outcomes. We are an extraordinarily committed team that values integrity, grit and accountability. We are developing frontier LLM-enabled deep technology that pushes the boundary of what's possible. Our goal is to accelerate data-driven clinical evidence generation to improve care and research. We offer competitive salary and employee equity options, 3% company-sponsored 401k contributions, and comprehensive medical, dental and vision insurance for employees and their families. Senior or Staff Machine Learning Engineer You can expect to: Research, architect, develop, and validate novel ML systems, including large language models (LLMs), tailored for complex healthcare data use cases. Stay up-to-date with and translate the latest advancements in ML technologies into production use cases. Take ownership of end-to-end ML pipelines and iterate quickly. Collaborate closely with our clinical and product engineering team to make 10X impact. Deploy ML pipelines into cloud environments to ensure scalability, low latency and performance Work in person in San Mateo, CA at least 3-4 days a week We look for: 5+ years of professional experience in machine learning, reinforcement learning and/or large language models. Strong knowledge of statistical and deep learning techniques and architectures. Bonus if you have extensive experience working with clinical data Bonus if you have a track of record of publications in top ML conferences and journals. Exceptional problem-solving skills and ability to independently tackle challenging problems An incredible team player who thrives in a lean, super fast-paced environment We are proud to be an Equal Employment Opportunity employer and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We embrace diversity and provide equal employment opportunities to all employees and applicants for employment. We prohibit discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. #J-18808-Ljbffr