Top Remote 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.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

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

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

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.

The Distinguished Machine Learning Engineer will drive modern technology adoption, solve complex business problems, mentor talent, and lead data engineering initiatives.

Lead a team of data scientists at GoodRx, combining hands-on modeling and strategic leadership to deliver machine learning solutions for healthcare affordability.