Top Machine Learning Jobs in San Diego, CA

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

The Director of Privacy Legal Counsel leads the global privacy program, ensuring compliance with privacy regulations, advising on data protection, and providing legal support across various business functions.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The AI Administrator evaluates AI tools' performance, collaborates with product management for improvements, and ensures optimal functionality through troubleshooting and monitoring. They engage with cross-functional teams to enhance user experience and utilize innovative solutions to optimize AI performance.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

As an Operations Specialist, you'll handle full-cycle recruitment for light industrial roles, making high volume calls, scheduling interviews, and providing feedback, requiring strong communication and adaptability in a fast-paced environment.

The Senior Software Architect will research and implement AI networking technologies, optimize inference systems, and drive architectural decisions for AI inference in distributed systems.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

The Digital Marketing Analytics Specialist analyzes marketing performance, develops reports and dashboards, and optimizes strategies using data-driven insights.

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.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

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

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

The Clinical Product Development Specialist collaborates with teams to develop healthcare products, providing clinical input, conducting data collection, and supporting product validation and training efforts.

Lead initiatives in designing and building large-scale distributed data systems and ML infrastructure, while collaborating across various engineering teams.

As a Client Solutions Architect, you will lead technical solutions for clients, drive product adoption, manage projects, and serve as a liaison between clients and internal teams at Arine.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

The Enterprise Account Executive will drive new business opportunities, manage customer relationships, and engage in technical discussions with clients in the ML/AI space.

This role involves applying machine learning techniques to investment management strategies, leading initiatives to bring these strategies to investors.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.