Machine Learning Jobs in San Jose, CA

The Machine Learning Engineer will design and implement advanced ML models for energy systems, collaborating with R&D teams to tackle challenges in battery technology.

Design and implement distributed cloud GPU training for ML, build end-to-end pipelines, collaborate on data problems, and uphold ML best practices.

Lead software engineer focusing on optimizing ML models for embedded systems, improving performance and efficiency in production environments.

Develop algorithms for robotic intelligence, including vision-language models and multi-modal data integration for human-robot communication.

Lead the development and management of DevOps processes for ML/AI algorithms, ensuring system reliability and deploying infrastructure using cloud and container technologies.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

As a Senior Research Engineer, you will optimize language and vision models on Cerebras hardware, focusing on high-performance ML inference techniques.

The role involves optimizing machine learning models, developing infrastructure for model life cycles, and collaborating across teams to enhance Nuro's autonomy technology.

The Lead ML Software Development Engineer will design, develop, and maintain innovative GenAI applications, ensuring high-quality user experiences. Responsibilities include collaboration with product teams and integrating new technologies.

You will lead the development of machine learning models on Adobe Stock's Content Intelligence team, collaborating to innovate solutions.

Interns will design, build, and deploy machine learning models that enhance Netflix's services, collaborating with various teams to translate business needs into ML solutions.

The intern will conduct machine learning research, focusing on personalization, NLP, reinforcement learning, and computer vision while collaborating with various teams to improve Netflix's services.

The Senior Software Engineer will design architecture, implement systems for Enterprise AI, collaborate on machine learning development, and support CI/CD practices.

Design, build, and deploy ML infrastructure components for autonomous vehicles, focusing on model training pipelines and optimizations.

Lead the strategic direction for GPU kernel development, optimize machine learning models for deployment on edge, and mentor a team of engineers.

As a Senior ML Platform Engineer, you will lead the development of a high-performance data platform for autonomous driving, focusing on processing multimodal datasets for ML model training. Responsibilities include optimizing data pipelines and collaborating across teams to align data platforms with the overall architecture.

The AI Engineer will develop and iterate on AI models for user personalization, query understanding, and content discovery while collaborating with cross-functional teams.

Design and develop innovative features for Mirage, managing key software ownership, collaborating with teams to build scalable back-end systems and APIs.

As a Multimodal Machine Learning Engineer, you'll design AI solutions for multimodal content, develop technologies for automated content generation, and advance AI-driven products.

Design and develop machine learning infrastructure, enhancing core components for model training, monitoring, and serving. Collaborate with ML engineers on robust pipelines.

As a Machine Learning Engineer, you'll develop and optimize recommendation systems, focusing on user behavior modeling, data pipeline development, and feature engineering.

The role involves developing a virtual assistant platform, collaborating with cross-functional teams, leading a team of engineers, and managing the AI/ML platform while ensuring optimal performance and reliability.

Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.

The Senior Product Manager will strategize and lead product development focusing on AI/ML features for Samsung's enterprise mobility solutions, emphasizing security and user experience.

The internship involves generating de novo antibody designs and utilizing machine learning to predict developability properties, collaborating with experimental teams.