Top Machine Learning Jobs in San Diego, CA

The Machine Learning Engineer will develop and enhance search retrieval and ranking models, design pipelines for high-quality answers, collaborate with teams to build a recommender system, and ensure system performance and reliability within Reddit's emerging search product ecosystem.

This role involves developing Generative AI applications and optimizing machine learning pipelines for customers. Responsibilities include building LLM solutions, providing technical mentorship, and collaborating cross-functionally to shape product strategies. The role emphasizes customer interactions and requires expertise in ML technologies and best practices.

The Staff Software Engineer in Machine Learning at Headspace will lead the development of the ML Platform, driving the design and evolution of systems that enhance the capabilities of ML engineers. This role focuses on building scalable ML systems, automating model lifecycle management, engaging in collaborative problem-solving, and maintaining high engineering standards through technical leadership and mentorship.

As a Machine Learning Engineer, you will design and develop machine learning pipelines, optimize decision-making processes, and create pricing solutions for a two-sided marketplace in logistics. Collaborating cross-functionally, you will enhance automated systems and advocate for data-driven decisions.

The Technical Product Manager will collaborate with data science and engineering teams to optimize ad performance and user acquisition through advanced models and infrastructure integration. They will ensure effective communication with stakeholders and utilize data-driven insights to guide product success, while staying informed on industry trends and performance metrics.

The Senior AI-Machine Learning Engineer at Abbott will lead R&D efforts in developing innovative ML-enabled features for medical devices. Responsibilities include collaborating across disciplines, applying machine learning techniques, and managing datasets for training and validation.

The R&D AI Software Engineer will design and improve end-to-end machine learning pipelines, pre-process datasets for LLM training, and contribute high-quality production code. This role involves working with live client data and addressing new use cases, ensuring optimal performance for AI applications.

The Senior Manager will lead AI/ML engineering teams to deliver scalable machine learning solutions. Responsibilities include driving innovation, mentoring teams, addressing roadblocks, and implementing engineering best practices in a collaborative environment focused on analytics and advanced technology.

As a Lead Machine Learning Engineer, you will develop advanced analytics and ML solutions impacting the business. Responsibilities include designing scalable applications, leading projects from conception to operationalization, and providing technical vision to teammates.

As a Senior Machine Learning Engineer at WEX, you will design, implement, and maintain machine learning algorithms, manage ML pipelines, and integrate AI components into systems. You will collaborate with cross-functional teams, apply DevOps principles, and use cloud technologies for deployment while ensuring compliance in regulated environments.

The Senior Machine Learning Engineer will develop algorithms for data analysis, improve data management, and enhance product performance using machine learning techniques. Responsibilities include coding algorithms, testing, debugging, and creating documentation. The role also involves implementing deep learning technologies and collaborating across teams.

As a Senior Staff Machine Learning Engineer at WEX, you'll design, implement, and maintain ML algorithms and pipelines, integrate AI components, and collaborate on CI/CD practices while ensuring a responsive approach to regulatory challenges in industries like payments and healthcare.

As a Senior Data Scientist, you will provide technical mentorship, build models to quantify impact on the platform, develop experimentation techniques, and create features to identify customer issues. The role focuses on navigating tradeoffs to drive business value across the organization.

As a Senior Product Manager at GrowthLoop, you will oversee product strategy and execution from inception to launch. You will collaborate with engineering, design, and marketing teams, focusing on customer insights and technical feasibility to develop tools that enhance marketer workflows, driving significant business impact.

The Enterprise Account Executive will drive revenue by acquiring and nurturing strategic enterprise client relationships, leading contract negotiations, and developing customized sales strategies. The role involves collaborating across teams and promoting Traba's mission within the industrial supply chain.

The SVP, Insights Technology will design and deliver advanced insights solutions, overseeing product management and software engineering teams while engaging clients to create tailored technology solutions. This role involves managing technology portfolios, collaborating across functions, and adapting to evolving technological landscapes.

As a Principal Product Manager for SentinelOne's AI/ML team, you will define and execute the product vision and roadmap, prioritize features, conduct market research, and collaborate with cross-functional teams to develop AI-powered cybersecurity solutions. Your role will require managing product releases, working with sales and marketing on strategies, and continuously improving product offerings based on customer feedback and market trends.