Machine Learning Jobs in Fremont, CA

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Design and optimize machine learning infrastructure. Develop high-performance model serving, scalable training systems, and data management for cloud-based ML. Collaborate with ML engineers and improve retrieval algorithms.

This role involves leading AI initiatives, developing and implementing AI solutions, mentoring teams, and shaping GM's AI research agenda.

The Technical Sourcer will identify and engage candidates for engineering, product, and AI/ML roles, building strong talent pipelines and collaborating with hiring managers.

As a Staff AI/ML Engineer, you will design advanced machine learning algorithms for autonomous driving, mentor teams, and represent GM in publications and conferences.

Drive and deliver initiatives to enhance developer productivity through AI-driven solutions and lead complex technical challenges in Developer Experience.

Lead product strategy for AI-driven features, translating customer needs into technical solutions, and collaborating cross-functionally to enhance the Celonis platform.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

Lead initiatives in the ML Orchestration team by designing scalable infrastructure for ML workflows, focusing on AI lineage and automation.

Develop and enhance GM's internal ML compiler for deploying machine learning models, improving usability and performance across various hardware platforms.

The role involves designing scalable AI/ML infrastructure, optimizing model training processes, and collaborating with teams to enhance platform capabilities.

Design and optimize machine learning infrastructure, develop high-performance systems for AI model serving, and ensure model training and evaluation scalability.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

This role involves building and supporting a scalable ML data processing platform, overseeing technical projects, and mentoring team members.

Lead the development of a scalable ML data processing platform involving data ingestion, management, and high-throughput serving systems. Responsible for technical leadership and mentoring junior engineers.

The Principal Data Scientist in Consumer Identity ML leads the development of machine learning models to personalize and secure customer experiences, analyzing vast datasets to improve business outcomes. Responsibilities include model creation, partnership with product teams, and advanced statistical analysis.

Lead a team to develop LLM/VLM solutions for autonomous driving, define improvement strategies, and collaborate across teams.

The New Grad Research Engineer will support AI research for autonomous systems and closed-loop simulation, collaborating on model development and best practices.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

Lead the development of market insights and forecasting strategies for Roche's Pharma products, integrating data to enhance decision-making and outcomes.

The Integrated Insights Lead provides strategic market insights for disease areas, drives business decisions, and collaborates across functions to improve healthcare solutions.

Develop innovative machine learning algorithms for protein modeling and design, collaborating with experimental biologists and refining predictions.

As a Business Operations Associate, you will drive data-driven decisions, collaborate with teams, run analyses on A/B tests, and enhance operational efficiencies.

The Business Operations Associate will support business initiatives by analyzing data, conducting A/B experiments, and optimizing operational processes to drive growth and efficiency.