Top Machine Learning Jobs in San Diego, CA

As a Principal Applied Scientist, you'll define the technical vision for offer optimization and conversion modeling systems, ensuring alignment across teams while overseeing large technical initiatives and contributing to real-world machine learning solutions.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

Provide technical pre-sales support for SailPoint, managing proof-of-concept processes, architecting solutions, and developing custom code for identity management.

The Director of Product Management for ML Platform will own the product strategy and execution, mentor PMs, and collaborate with ML teams to enhance infrastructure and manage costs.

As Principal Product Manager for the Agentic Platform, you will set the vision and strategy for AI infrastructure, drive product development, and facilitate adoption across teams.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

The role involves designing and implementing advanced analytics solutions for healthcare payers, analyzing complex problems, mentoring juniors, and building client relationships.

The Strategic MSP/MSSP Account Executive will identify and develop partnerships, create strategic plans, and drive revenue growth by engaging with prospective MSP/MSSP partners while collaborating internally to optimize sales strategies and maintain relationships.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Lead data science initiatives to develop and deploy AI solutions that improve business outcomes. Collaborate with cross-functional teams to analyze data, create models, and evaluate performance.

The Data Scientist role involves analyzing payment and subscription experiences, applying data science methods, and collaborating with cross-functional teams to improve player experiences and business decisions.

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

Lead design and delivery of scalable AI/ML solutions: translate problems into models, build and deploy ML/agentic architectures and conversational AI, integrate cloud AI/cognitive services, create specs and test plans, manage projects and stakeholder collaboration to productionize models and optimize performance.

Produce clear installation SOPs and technical illustrations for fleet safety hardware; document mounting, cable routing, wiring integrations; design documentation templates; collaborate with Product Success and field engineers; perform field visits and travel to document vehicle installations and troubleshooting in industrial environments.

Develop, analyze, and deploy data-driven and ML/AI solutions. Perform data analysis, visualization, and decision-support work using Python and version control. Support operational deployments, containerized environments, and cybersecurity considerations; apply NLP/LLM techniques when relevant.

Lead and build the Applications function to translate clinical/research lab workflows into validated, deployable robot capabilities. Own workflow validation, instrument onboarding, training data collection for ML, technical documentation, demos, customer technical leadership, and team hiring and development.

Lead and execute cross-disciplinary engineering for humanoid lab robots as a player-coach: plan priorities with the CTO, run sprints and reviews, unblock teams, hire and grow engineers, and spend ~30–40% of time writing and shipping code across hardware, software, and ML systems.

Lead the development of AI applications and data products to enhance Immunology R&D. Manage a technical team and collaborate across departments.

Lead digital innovation and AI strategy for R&D, partnering with Clinical, Biometrics, Quality, Regulatory and ETS. Define eClinical systems ecosystem, prioritize digital initiatives, establish governance, measure value, and drive adoption to improve efficiency, quality, and trial execution while ensuring compliant, responsible AI use.

Lead Jerry.ai's organic community strategy across Reddit, Quora, YouTube, and TikTok. Grow and moderate subreddits, create scalable authentic content and engagement playbooks, collaborate with Growth and Content, and measure community metrics like sentiment, share of voice, referral traffic, and LLM citation.

The Patent Attorney Associate will prepare and prosecute patent applications, draft responses to office actions, conduct analyses, and collaborate with inventors and technical teams on patent matters.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

The Principal leads AI platform initiatives, driving strategy and technical execution. This role includes product management, cross-functional program leadership, and governance in AI adoption across the organization.