Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead Data Scientist responsible for developing AI solutions and managing machine learning models while collaborating with MLOps and DevOps teams to enhance healthcare outcomes.

As a Senior Data Scientist, you will design AI systems, develop machine learning models, and collaborate with teams to implement AI solutions for healthcare improvements.

Lead the design of human-aware AI systems to enhance human-AI interaction through robust machine learning pipelines and evaluation metrics.

Seeking a Principal Data Scientist to guide AI innovation and develop responsible, interpretable AI systems to improve healthcare outcomes. Lead collaboration with teams to integrate AI into business systems, ensuring compliance and effectiveness in healthcare applications.

The Senior Data Scientist will develop AI solutions, design autonomous AI systems, and collaborate across teams to influence business strategies using data science. They will focus on building and maintaining machine learning models for healthcare improvement.

The Director of AI Engineering will lead a team to build agentic AI capabilities, ensuring high-quality engineering practices, mentoring staff, and strategic planning for AI initiatives.

The Lead Product Owner leads the development of data products related to CMS Stars and HEDIS, ensuring data compliance and quality. Responsibilities include managing product backlog, collaborating with stakeholders, guiding technical solutions, and monitoring CMS requirements.

Lead the development and governance of the Next Best Action capability to improve engagement and health outcomes through real-time decision-making across channels and business lines. Facilitate integration with various platforms and promote collaborative efforts across teams.

Lead Data Scientist to develop AI systems focusing on safety, alignment, and ethical deployment while collaborating on AI methodologies and continuous monitoring strategies.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.