Top Machine Learning Jobs in San Diego, CA

The Senior Engineering Manager will lead multiple growth engineering teams to build products, improve engineering quality, and drive significant business impact, focusing on user growth through innovative strategies while ensuring high-quality execution under deadlines.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

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

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

The Senior Capture Manager leads capture efforts for key opportunities, develops strategies, coordinates teams, and manages budgets to win complex programs in the defense sector.

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.

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

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.

Lead the strategy and execution of data, AI, and transformation using Google Cloud in collaboration with major ISV partners. Drive business process innovation, ecosystem development, and go-to-market initiatives while managing cross-functional teams and change management.

Lead the strategy for the adoption of Google Distributed Cloud (GDC) and secure hybrid solutions in national security and critical infrastructure sectors, focusing on market leadership, mission development, solution integration, security, and ecosystem partnerships.

Lead financial operations transformation using Google Cloud and AI technologies. Develop data-driven finance strategies and collaborate with stakeholders to ensure operational success.

Lead digital transformation in the insurance sector by guiding clients in leveraging Google Cloud for modernizing platforms, innovating products, and improving customer journeys through data and AI solutions.

The role involves leading digital transformation in life sciences, leveraging Google Cloud for R&D, clinical development, and smart manufacturing, while engaging with executives in the industry to drive strategy and innovation.

The role involves leading HR transformation through data and AI implementation on Google Cloud, enhancing employee experience and driving data-driven HR strategies.

The role includes leading cloud strategy, orchestrating data and AI transformations, managing partnerships with ISVs, and developing go-to-market strategies for GCP solutions.

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.

The Staff Bioinformatics Scientist leads complex bioinformatics projects, analyzes data, develops algorithms, and mentors junior scientists to innovate in cancer diagnostic product development.