Machine Learning Jobs in San Jose, CA

As a Product Management MBA Intern, you'll collaborate on product requirements, translate insights into user stories, and drive AI product strategy at NVIDIA.

The Staff Software Engineer in Applied Performance Group at Snowflake will drive product direction by addressing performance challenges and delivering competitive benchmarks while collaborating across various teams.

As a Founding Machine Learning Engineer, you will design and deploy ML models and multi-agent systems for chip design, collaborating with engineers and prototyping new features.

Lead and mentor a team of ML engineers in defining technical roadmaps and building ML systems for chip design, focusing on state-of-the-art techniques.

As a Software Engineering Intern, you'll solve engineering challenges, develop software, and learn about distributed systems alongside a mentor, focusing on real problem-solving.

The role involves building the deep learning infrastructure for AI agents in VLSI design, focusing on scalable applications, data pipelines, and product delivery.

Lead a team of engineers to develop ML infrastructure for autonomous vehicles, ensuring high-quality standards and fostering team growth.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

The Senior ML Engineer for Perception will manage the end-to-end pipeline of ML perception models, focusing on design, optimization, and deployment for real-time applications in vehicles.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.

The Technical Program Manager will lead engineering operations, manage performance investigations, develop roadmaps, and mentor junior team members to ensure operational excellence in a fast-paced environment.

The Senior Machine Learning Modeler will develop machine learning solutions to assess financial crimes risk, collaborate with teams, and drive innovation in financial crime detection.

Drive risk management by building end-to-end AI/ML solutions, collaborating with cross-functional teams, and optimizing operations at Square.

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

The Machine Learning Engineer will create and evaluate models, conduct code reviews, and ensure code quality while building scalable products.

The role involves designing, optimizing, and maintaining large-scale signal and training data systems, collaborating with ML engineers to improve workflows, and ensuring system performance and data quality.

The Senior Product Manager will lead the development of The Trade Desk's infrastructure, focusing on scalability, security, and optimizing complex systems to support high-performance workloads. Responsibilities include modernizing core systems and collaborating with cross-functional teams to enhance product capabilities and performance.

As a Senior Product Manager, you'll build predictive AI solutions, define product requirements, analyze AI performance, and facilitate customer collaboration.

In this role, you'll optimize a Generative AI product for enterprise solutions, focusing on scaling and enhancing the conversation engine infrastructure while collaborating across teams.