Top Machine Learning Jobs in San Diego, CA

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

As a Forward Deployed Engineer, you will develop solutions, embed with customers to identify their real needs, manage deployments, and integrate product improvements.

The AI Program Leader will design and implement AI initiatives in People & Culture, manage AI projects, enhance processes, and collaborate with teams to drive transformative changes using AI technologies.

The Sales Development Representative will identify and research potential clients, execute outbound prospecting strategies, qualify inbound leads, and collaborate with Sales and Marketing teams to enhance lead generation.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

As a Senior Software Engineer, you will manage customer deployments of AI integration, making architectural decisions and ensuring effective solutions.

The Sr. Engineer, Machine Learning Operations designs and operates ML solutions for cancer screening. They build robust pipelines and collaborate with cross-functional teams.

The Head of Startup Program will create and manage an AI-centric startup program, drive customer engagement, and establish strategic partnerships in the ecosystem.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

Lead the enterprise-wide AI adoption initiative, managing strategies, budgets, and communications across departments while preparing executive presentations and mentoring successors.

This role focuses on optimizing large-scale financial modeling applications by implementing MLOps practices and maintaining end-to-end pipelines on AWS.

Lead product strategy for data and AI solutions, drive analytics, manage integrations, and improve decision-making in health-tech.

The Solutions Architect aligns technology strategies with business objectives, leading solution design and architecture to deliver scalable IT solutions. Responsibilities include managing projects, evaluating technology trends, and driving efficiencies through AI and automation.

Lead and manage late-stage clinical trials for respiratory products. Build teams, develop strategies, and ensure compliance and collaboration across functions to drive execution in asthma and COPD programs.

Summer internship for MS/PhD students to apply AI/ML and LLMs to clinical pharmacology datasets, perform literature review and data management, and develop/validate PBPK and PK/PD models using tools like R or Python.

As a Senior Product Manager, you will lead the development of tools for financial advisors, focusing on product execution, advisor-centric development, and integrating AI into workflows while mentoring junior team members.

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

The Solutions Engineer will provide technical support for customers, ensure satisfaction, communicate with sales, and analyze customer needs for product enhancements.

As the Engineering Lead, you will guide product strategy, manage and mentor engineers, and ensure successful execution in product areas, focusing on machine learning and technical expertise across teams.