Top Machine Learning Jobs in San Diego, CA

Design and develop scalable machine learning solutions to enhance Netflix's personalization systems, while collaborating with cross-functional teams.

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.

Lead the Ads Data Science and Engineering team, driving forecasting, optimization, and strategy while supporting Netflix's ad-tech ecosystem.

The Research Scientist will improve Netflix's understanding of members through LLM prototypes and evaluation systems, collaborating on projects and influencing product direction.

The SIGINT Systems Engineer will guide SIGINT programs through Agile practices, Cloud migration, and automation, focusing on systems engineering and integration.

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

Lead a team to build big data pipelines using distributed computing tools, collaborate with cross-functional teams, and drive technical and business priorities.

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

Lead the Ads Supply Engineering team at Netflix, driving integrations with ad tech platforms, managing a diverse engineering team, and ensuring exceptional ad experiences.

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

As a Senior Data Scientist, you will leverage machine learning and statistical techniques to solve complex business problems and drive product innovations. You will collaborate with cross-functional teams and analyze data to help shape product strategies and decisions.

Hypergiant seeks experienced engineering professionals for future opportunities in software development, systems engineering, and data science, requiring active U.S. national security clearance.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

As a Machine Learning Engineer, you'll lead projects in data acquisition and curation, develop scalable systems for ML datasets, and analyze data for insights. Collaborate with AI researchers, build datasets, and write well-documented code for generative AI features in Autodesk products.

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.

The Product Manager will lead product development, working with cross-functional teams, driving growth, and creating user experience frameworks.

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.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

As a Senior Specialist in IT Operations, you will provide technical support, troubleshoot complex issues, drive process improvements, and enhance IT workflows using automation and AI.

Manage and enhance the Artificial Intelligence curriculum by collaborating with instructors, developing course materials, and optimizing content creation workflows.

Lead the analytics and insights teams, develop strategies for customer solutions, and implement innovative data-driven models to enhance business efficiency.

Lead the Community Support Operations team, driving technology strategy and product delivery while managing a team of platform managers and collaborating cross-functionally to enhance customer experience.