Machine Learning Jobs in San Jose, CA

Design and develop tools using machine learning and computer graphics to support visual effects workflows, collaborating with multiple teams to enhance creative opportunities.

The ML Engineer will develop ML libraries and services, optimize large language models, and improve model registries for production readiness.

Research Engineer to develop efficient training and serving of large language models. Focus on engineering improvements for deep neural networks.

Develop and improve the Metaflow platform for machine learning applications, collaborating with researchers and ensuring high software design and reliability.

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.

As a Staff Machine Learning Engineer, you will design and maintain the ML and AI platform, optimize processes, mentor others, and evaluate new technologies.

Develop and optimize machine learning models for early cancer detection using genomic data. Collaborate with interdisciplinary teams, applying MLOps best practices for experimentation and integration of large language models to enhance performance.

Architect and design machine learning solutions for autonomous driving, optimizing hardware and software performance across cross-functional teams.

The role involves building ML inference infrastructure for simulations, ensuring reliability and user experience for deployment and serving of ML models.

Design and develop Bird’s Eye View fusion models for autonomous driving using multimodal sensor inputs like LiDAR, focusing on performance, robustness, and scalability.

Develop and deploy machine learning algorithms for planning in autonomous trucks, ensuring safety and real-time efficiency.

Design and build scalable, custom solutions while optimizing performance and collaborating with cross-functional teams to enhance platform capabilities.

Design and implement learning-based algorithms for robotic manipulation and navigation. Build reliable software, collaborate with teams, and conduct experiments.

The role involves optimizing ML training efficiency and input pipelines, collaborating with ML practitioners, and resolving performance bottlenecks.

The Software Engineer will design and optimize distributed systems for ads, focusing on performance, cost reduction, and collaboration with Ads, Data, and Infrastructure teams to enhance efficiency.

Lead test planning and automation for AI compute engine, develop test cases and infrastructures, collaborate with development teams, and triage software bugs.

As a Machine Learning Engineer, you will build AI applications for the food industry using machine learning methodologies. Responsibilities include developing solutions, creating tools for machine learning access, and collaborating with teams to drive innovation.

As a Senior AI Engineer, you will design and implement orchestration systems for LLM-based agents, enhancing user experiences by developing intelligent frameworks and optimizing AI applications.

The role involves advancing on-device AI optimization through model compression techniques, collaborating on deployment strategies, and integrating models into applications.

The AI Engineer will develop components for agent orchestration, integrate LLMs, design experiments, and collaborate across teams for HP's intelligent OS.

The role focuses on enhancing HP's retrieval systems, designing algorithms, improving user interaction models, and deploying efficient RAG workflows.

Join the Snowflake team to design, implement, and optimize machine learning systems that impact developer productivity and platform efficiency. Collaborate with diverse teams on ML tools and infrastructure while enhancing software engineering practices.

Join the Waymo ML Infrastructure team to build and enhance ML-powered tools and web applications while collaborating with Google to improve developer efficiency.

Analyze ML resource usage, develop dashboards for monitoring metrics, optimize workflows, and guide ML engineers on best practices.

The role involves development of EDA workflows, applying ML techniques for circuit design, and optimization of display circuits. Candidates will work with modern AI methods to enhance circuit performance.