Top Machine Learning Jobs in San Diego, CA

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Director of Translational ML leads a team in developing strategies that leverage machine learning for drug discovery, focusing on omics and imaging data across clinical workflows. Responsibilities include managing ML scientists, translating clinical questions into ML problems, and ensuring actionable insights for drug decision-making.

As an AI/ML Computational Science Specialist, you will develop and implement AI solutions, collaborate with teams, and optimize workflows. Responsibilities include engineering innovative solutions, analyzing data, deploying models, and designing multi-agent systems.

As the Senior Product Manager for Insurance at Jerry.ai, you'll manage the quoting team's products, driving carrier integrations, optimizing marketplace performance, and ensuring data accuracy while maintaining high quote speeds.

The Senior Engineer in Photonic Design & Testing will design, develop, and test advanced photonic systems and algorithms, while collaborating with various engineering teams to enhance sensor capabilities.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

This role involves defining and leading biopharmaceutical bioinformatics strategy, overseeing computational biology tasks in oncology and immunology, and collaborating across various scientific functions to support clinical development programs.

As a Research Scientist Intern, you'll work on machine learning problems, prototype features, write production code, and collaborate with mentors.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

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.

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

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

The AI Program Manager designs and implements AI programs, engages stakeholders, and manages project risks in a multi-disciplinary environment.

The AI Program Manager designs and manages AI programs, coordinates projects, engages stakeholders, mitigates risks, and leads teams with minimal guidance.

Lead product management efforts at Genesis Molecular AI by defining product roadmaps, collaborating across teams, and ensuring execution of projects in drug discovery.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The Sr. Manager, Sales Enablement will optimize digital sales workflows in diagnostics, focusing on program design, sales strategy, learning development, and technology implementation to increase productivity and efficiency.

The Principal Deep Learning/AI Engineer will design and implement AI methods in bioinformatics, ensuring scientific soundness and production readiness while mentoring team members and leading technical design reviews.

As a Principal Machine Learning Scientist, you will conduct research, analyze data, develop models, and lead projects to implement innovative solutions in real estate.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

The AI/ML Software Engineer will embed models into workflows, collaborating with teams to enhance AI applications and tools, focusing on automation and best practices.