Top Data & Analytics Jobs in Los Angeles, CA

The Talent Intelligence Consultant will provide insights for talent acquisition and workforce planning, leveraging data to influence strategic decisions. They will collaborate across departments to deliver talent intelligence, integrate data analysis, and improve recruitment effectiveness.

Develop and implement algorithms for driverless technology, optimize models for production, and mentor engineers on coding and design best practices.

Develop and optimize machine learning solutions for driverless technologies, guide technical decisions, and enhance team collaboration.

Design and develop algorithms for autonomous vehicles, implement deep learning methods, and enhance software reliability through testing and CI.

Research, develop, and implement machine learning models for autonomous vehicles, focusing on perception, sensor fusion, and real-time debugging.

The role involves designing evaluation processes for Autonomous Vehicles, implementing infrastructure solutions, analyzing performance metrics, and presenting insights to stakeholders.

This role focuses on enhancing data for autonomous vehicle models using multi-modality ML techniques, software engineering, and data quality evaluation.

Lead the Diagnostics Software team for autonomous vehicles, ensuring the development and integration of embedded software for system fault management and safety. Foster a high-performance engineering culture and align team goals with business objectives.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The HR Data Engineer role involves designing data pipelines, managing HR data integrations, ensuring data quality, and collaborating with HR to enhance data-driven decision-making.