Top AI & Machine Learning Jobs in Los Angeles, CA

Design, build, and optimize scalable ML infrastructure: feature pipelines, high-performance training and inference systems, data management, and cloud-based model deployment while improving reliability and efficiency.

As a Staff Machine Learning Engineer, you will set the technical direction for the Ad Ranking team, design and deploy machine learning solutions, and mentor engineers while driving large cross-team initiatives.

The Machine Learning Engineer will build and deploy ML models, applying modern techniques to solve problems and collaborate with teams on ML-driven features.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

The Research Scientist will lead data-centric generative AI projects, focusing on data strategy, pipeline design, and collaboration with ML engineers for enhanced model performance.

Lead a machine learning engineering team to develop ranking models. Manage project design, code reviews, collaborate with stakeholders, and ensure product scalability and quality.

Lead a team of data scientists to optimize ad ranking and marketplace efficiency, conduct data analyses, and translate findings into insights and recommendations.

The Research Engineer will optimize large-scale machine learning models, contribute to architecture and training, and collaborate with teams for kernel integration.

Lead the vision for generative recommendations at Snap, designing and building generative models to enhance content discovery, personalization, and user engagement, while driving innovation and technical initiatives in the enterprise.