Top Big Data Jobs in Los Angeles, CA

The Lead AI/ML Engineer develops AI approaches for healthcare, builds ML models, conducts experiments, collaborates with teams, and ensures compliance with policies.

Lead enterprise AI strategy and execution, design and deploy scalable AI/ML solutions, establish governance and ethical practices, drive research and LLM/NLP innovation, mentor teams, collaborate with cross-functional leaders, and present results to executive leadership.

Provide clinical oversight for utilization management and care transitions, perform daily reviews and peer-to-peer conversations, liaise with network and non-network providers, support care coordination and analytics, contribute to strategic initiatives and Medical Advisory Board, and provide intermittent weekend/evening coverage.

The Senior Engineer, Backend APIs designs and builds microservice-based APIs, collaborates with teams, ensures API usability, and manages services in production.

The General Manager, Lead Generation will launch a new lead generation business, creating strategy, operations, and team from the ground up to drive profitability.

As a Senior Software Engineer in Release Infrastructure, you will enhance developer efficiency, own critical systems, and shape internal platform vision.

As a Data Engineer, you will design and maintain scalable data pipelines, collaborate with teams to improve data solutions, and ensure data quality for DISQO's ad measurement platform.

The VP of Global Channels will lead Nasuni's channel sales strategy, market expansion, partner recruitment, and team leadership to drive revenue growth through indirect sales channels.

Design and build scalable features for MongoDB's Internal Developer Portal using Backstage. Collaborate with teams to enhance developer workflows and internal tools.

The Senior Product Manager for Search Platform will drive the technical vision, champion customer needs, and partner with engineering to ensure reliable infrastructure supporting AI applications.

Join the Data Science Team at Edmunds to design and implement AI-driven initiatives, optimize products, and collaborate with engineers and product managers in the development of ML solutions.

As a Sr. Full-Stack Engineer, you will lead development initiatives, mentor junior developers, design scalable applications, and drive system architecture, ensuring high-impact solutions.

Lead the development of AI safety strategies for autonomous vehicles while ensuring compliance with industry standards, focusing on ML model validation and deployment in driving systems.

Build and own full-stack UX and backend systems for the ML lifecycle: design architecture, integrations, observability, CI/CD, and production frontend/backends. Lead technical initiatives, mentor engineers, and collaborate across teams to scale ML platform capabilities.