Machine Learning Jobs in Orange, CA

Responsible for designing and developing AI solutions for Oncology R&D, collaborating with scientists to translate complex questions into actionable insights, and contributing technical expertise in rapidly prototyping AI applications.

The role involves building AI-enabled solutions, developing data pipelines, and collaborating with teams to enhance Oncology R&D workflows.

Lead the Oncology AI product strategy and roadmap, manage AI engineering teams, and drive stakeholder engagement for impactful AI solutions in R&D.

The role involves managing analytics consulting projects, engaging with clients to translate business problems into analytics solutions, and presenting results to senior stakeholders. A strong background in data analytics and project management is essential.

The role supports AI governance and compliance activities, coordinates risk assessments, provides compliance documentation, and ensures alignment with regulations.

Lead the development of machine learning and bioinformatics for NGS products, collaborating cross-functionally to analyze complex datasets, and mentor junior members.

The Principal Data Scientist will leverage machine learning and data engineering to enhance safety evaluations and translational research in pharmaceuticals, collaborating with experts to create predictive models and AI-ready datasets.

Design and deploy machine learning systems, focusing on LLMs and optimizing them for production. Engage in ML operations and build end-to-end pipelines for scalable solutions.

The Senior Software Engineer will lead AI/ML initiatives, develop production features, manage offshore teams, and ensure application stability in a hands-on engineering role.