Top Machine Learning Jobs in San Diego, CA

Lead the design and development of localization and mapping algorithms for humanoid robots, ensuring effective navigation and motion planning. Collaborate across teams to align perception capabilities with product requirements.

Lead a small engineering team in developing and deploying core product functionality, ensuring high quality and security standards. Collaborate with cross-functional partners while managing and scaling the team effectively.

Lead a team of ML engineers to develop advanced personalization systems, ensuring technical excellence, system reliability, and effective project delivery while mentoring engineers.

The Senior Manager, Solutions Architect designs cloud contact center solutions integrating Amazon Connect and Local Measure, leads technical pre-sales engagements, and collaborates with sales teams to propose solutions.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.

The Staff Machine Learning Engineer will architect and implement advanced ML solutions, lead ML applications in Messaging and Notification, and mentor engineers within Airbnb's AI innovations.

Responsible for training and deploying ML models for scene understanding, behavior prediction, and planning in autonomous vehicles. Collaborate on designing and analyzing experiments, maintaining evaluation code, and improving model performance.

The engineer will train, evaluate, and deploy ML models for understanding driving environments, focusing on motion prediction and planning for autonomous vehicles.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

The Senior Machine Learning Engineer will develop and maintain ML feature systems, drive architectural decisions, and mentor engineers while collaborating with cross-functional teams.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

This role involves identifying partnership opportunities within the AI ecosystem, developing strategies, negotiating agreements, and measuring pilot success metrics. You will work closely with product and engineering teams to align partnerships with growth priorities.

As a Revenue Strategist, you will drive revenue management strategies for hospitality clients, focusing on data analysis and customer success to enhance outcomes and ROI.

The Junior Program Advisor assists in transforming tech careers through AI upskilling, offering career support, mock interviews, and job referrals.

Drive solution discovery and design of AI solutions, support sales proposals, deliver demonstrations, and enhance customer relationships at Five9.

Lead and mentor a team to develop advanced user understanding models, collaborating cross-functionally to integrate insights into products and drive measurable impact.

The Principal Architect will lead the architectural direction of the AI-powered security platform, ensuring scalability and integration of advanced technologies, while mentoring engineering teams and enhancing technical standards.

The Senior Staff Machine Learning Engineer will lead system development for personalization and ranking, mentor engineers, and influence technical direction within large-scale systems.

This role involves managing strategic partnerships to drive growth, collaborating across teams, and developing new initiatives for business impact.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.