Top Senior Level Machine Learning Jobs in San Diego, CA

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

The Staff Data Scientist will build and manage machine learning models to optimize personalization, inventory, and logistics while leading the ML function and collaborating cross-functionally.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.

Design and deploy ML models to combat financial crimes, collaborate with teams, and enhance ML practices within the organization.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

Develop AI/ML models for credit risk, drive data strategy, collaborate cross-functionally, manage model lifecycle, ensure compliance, and innovate in AI science.

The role involves designing and optimizing protein binders using machine learning and computational biology, collaborating with lab teams, and developing computational pipelines for protein discovery.