Top Machine Learning Jobs in San Diego, CA

The role involves building scalable AI infrastructure for Zillow, defining AI approaches, developing ML lifecycle management, and collaborating with cross-functional teams to implement technical visions.

The Injection Molding Product Line Director oversees the injection molding line, driving market share growth through strategic product management, customer insight, and cross-functional collaboration. Key responsibilities include analyzing market trends, optimizing product offerings, setting pricing strategies, coordinating with sales and technical teams, and ensuring operational excellence.

The Sr Experience Designer will lead the design of AI-powered workflows, experiment with new AI technologies, create wireframes and prototypes for user-centric designs, and work collaboratively with cross-functional teams, ensuring ethical and effective integration of AI into user experiences.

As Head of Engineering, you will lead the technical strategy to scale the architecture of our AI-powered avatar platform, focusing on real-time video processing and LLM pipelines. You will drive decisions around AI/ML infrastructure, ensure system reliability, optimize performance, and build a high-performing engineering team while aligning technical roadmaps with business goals.

Join as a Global Alpha Researcher to develop market-neutral, medium-frequency Alphas based on data, investigate academic research, implement algorithms, parse datasets, and apply machine learning for portfolio construction.

The Director of Supply Chain AI/ML Engineering at Nike is responsible for leading teams of machine learning engineers and data scientists to deliver scalable AI solutions for the supply chain. This role involves coaching engineers, advocating best practices, and collaborating with cross-disciplinary teams to maximize analytics capabilities across the business.

The Staff Machine Learning Engineer will lead and shape the technical vision for Cash App's underwriting and credit solutions by architecting robust systems and mentoring engineers. Responsibilities include enhancing ML infrastructure, collaborating with cross-functional teams, and contributing to large-scale features tied to financial health and accessibility for customers.

The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.

The SVP Chief Technologist will lead the design and delivery of innovative Insights solutions. Responsibilities include creating and implementing technical strategies, overseeing product management and engineering teams, collaborating with cross-functional teams, and engaging with clients to meet their needs through technology.

The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.

This role involves supporting the AI & Productivity team by developing solutions for collaboration and conversational AI platforms, while gaining experience in system integration and enhancing employee processes using AI tools.

As a Regulatory Affairs Consultant, you will develop and maintain regulatory strategies to ensure compliance for advanced surgical devices while leading cross-functional teams and providing mentorship. You will manage global coordination for regulatory submissions and contribute to customer satisfaction through effective regulatory expertise.

The Staff Machine Learning Engineer at Cash App will design and enhance ML tools, unblock modelers with necessary infrastructure, develop prototypes, and collaborate with cross-functional teams to improve financial crime detection. This role requires driving strategic roadmaps while applying AI/ML best practices.

The Machine Learning Researcher at Curai Health will advance medical applications of machine learning, contribute to research publications, and collaborate with experts in healthcare technology. Responsibilities include tackling complex healthcare data challenges and mentoring research interns.

As a Solutions Engineer, you will lead technical aspects of the sales process, engage with clients on AI and machine learning solutions, and design optimized workflows. Responsibilities include educating customers about the Shakudo platform, collaborating with the sales team, and providing strategic guidance on AI implementations.

The Senior Account Executive at Vultr will generate revenue focused on AI infrastructure, particularly through Cloud GPU sales to Northern California customers. Responsibilities include identifying customer needs, owning sales results, and utilizing sales tech tools while collaborating with engineering and product management teams.

Manage a team of data scientists and machine learning engineers to develop AI products that enhance business performance. Responsibilities include aligning data science projects with strategic goals, implementing data analytics strategies, performing data management, and leading performance evaluations for the team.