Machine Learning Jobs in Fremont, CA

Design and manage scalable infrastructure for training and serving large language models, ensuring optimal performance and reliability while collaborating with ML researchers.

The role involves researching and implementing synthetic sensor simulation methods, analyzing sensor data realism, and collaborating with teams on autonomy performance.

Lead the design and implementation of Machine Learning infrastructure for Voice AI products by architecting ML pipelines and mentoring engineers.

Design and build language models for AI security products, managing data pipelines, experiments, and model evaluations to ensure reliability and safety.

As a Senior/Principal Machine Learning Engineer, you will build ML systems for voice moderation, mentor engineers, and shape technical direction.

The role involves providing AI solutions expertise, influencing product roadmaps, publishing content, and ensuring successful AI & ML implementations at Snowflake.

Research and develop deep learning algorithms for autonomous driving, focusing on real-time model integration and data analysis to improve vehicle performance.

The Senior Software Engineer, AI/ML will develop scalable data streaming solutions, integrate AI capabilities, collaborate with teams, and mentor junior engineers.

Lead and grow a team focused on training data for Generative AI, manage data pipelines, collaborate with researchers, and ensure ethical AI practices.

Join Adobe's Search and Discovery team as an Applications and Machine Learning Engineer, focusing on building scalable search solutions and algorithms for various Adobe products.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

The Machine Learning Engineer will design, build, and optimize ML deployment pipelines, enhance inference frameworks, and collaborate to improve model performance and efficiency.

Manage the entire recruiting life-cycle focusing on technical roles, build relationships with hiring managers, and ensure an equitable hiring process.

Lead the architecture for ML models on custom silicon, influencing AI frameworks and solving performance problems across the software stack.

Lead the design and development of AI-powered systems for cybersecurity applications while mentoring engineers and driving technical strategy.

The Staff Data Scientist will lead the design and development of Game Understanding Agents using machine learning methods, mentoring engineers and setting technical direction.

The Machine Learning Engineer will develop scalable algorithms for video understanding and generation, implement large-scale foundation models, and collaborate with researchers to bring innovations to production.

Lead AI strategy and implementation, design AI systems, oversee model development, ensure ethical AI practices, and provide technical direction to teams.

The role involves designing, developing, and maintaining large-scale distributed systems while optimizing pipeline performance and collaborating with various engineering teams.

As a Backend Infrastructure Engineer, you will design, develop, and maintain scalable distributed systems while collaborating with various engineering teams and optimizing model delivery pipelines.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Design and implement machine learning models and systems for programmatic advertising, maintaining data pipelines and collaborating on product roadmaps.

The role entails developing AI/ML applications, collaborating across teams, optimizing code, and mentoring juniors while focusing on user experience.

Nuro seeks engineers to build scalable ML infrastructure for self-driving technology, involving model serving platforms, monitoring, and lifecycle tracking.

The role involves researching, implementing, and optimizing ML approaches for 3D simulation, collaborating with teams, and building scalable cloud pipelines.