Machine Learning Jobs in San Jose, CA

Internship focused on real-world machine learning projects, particularly LLMs for personalized recommendations and user behavior analysis, collaborating with engineers and data scientists.

Join NVIDIA as a Senior Machine Learning Engineer focusing on humanoid robotics. Collaborate on projects involving humanoid loco-manipulation, contribute to foundation models, and implement algorithms for robot locomotion. Requires strong programming skills and significant robotics experience.

The Senior ML Platform Engineer will architect and maintain high-performance ML infrastructure using IaC, focusing on automation and collaboration with ML researchers.

The Lead Applied ML Research Engineer will research, develop, and deliver GenAI features, collaborating with teams to deploy robust AI models for enterprise use-cases.

The Senior Machine Learning Engineer will build and maintain scalable AI data pipelines, design backend services, optimize ML models, and ensure ethical compliance in AI systems.

As a Solutions Architect, you'll assist customers with implementing AI and ML solutions, engage directly with clients, and drive technology solutions based on NVIDIA's offerings.

Lead the design and development of advanced machine learning models and algorithms. Collaborate with teams to integrate ML solutions, ensuring data quality and deployment in production.

Develop and deliver innovative Firefly Enterprise applications while collaborating with design and product management teams and engaging with customers to refine workflows.

Design, train, and deploy large deep learning models utilizing data from a fleet of vehicles to enhance autonomous driving solutions.

The Staff Machine Learning Engineer will research, design, and implement advanced deep learning algorithms for autonomous driving systems, ensuring robust, real-time performance and model optimization.

Develop and implement ML models for search and recommendations, focusing on generative AI technologies and multimodal processing to improve creative experiences.

Adobe seeks a Machine Learning Engineer for applying AI techniques to enhance customer experience through predictive models and analytics. Responsibilities include developing scalable algorithms, collaborating on product features, and solving complex business problems using statistical and machine learning methods.

Architect, scale, and optimize ML infrastructure. Collaborate with teams to enhance model training and deployment performance, ensuring high availability and effective use of GPU resources.

The Machine Learning Engineer will develop large-scale models for video understanding and generation, curate datasets, and collaborate with researchers to advance ML technologies.

Lead the ML strategy for Foundry at Adobe, overseeing the development of AI-native content and managing a team focused on generative media models.

The role involves developing AI/ML models, engaging in product lifecycle management, and implementing ML-Ops practices for Adobe's Document Cloud customers.

Lead the development of machine learning models for autonomous vehicles, improve data systems, and collaborate across teams to enhance technology and performance.

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

Lead a team in developing AI/ML solutions within a data platform, focusing on innovation, technical excellence, and ethical practices while driving strategic growth.

As a Senior Principal Machine Learning Engineer, you will lead research on AI security, architect ML inference platforms, mentor engineers, and drive advanced optimization techniques. You will collaborate with engineering teams and shape product opportunities while ensuring operational excellence in production ML systems.

Develop intelligent AI solutions for enterprise operations, design robust ML architectures, and mentor junior engineers. Collaborate with teams to deliver results.

Develop models and applications for Adobe's Digital Experience customers leveraging machine learning and predictive models, while ensuring best practices in ML-Ops.

Develop and deploy machine learning models with a focus on sensor fusion and real-time challenges, collaborating across teams.

Design and develop generative AI services and APIs for Adobe products, optimizing models and building inference pipelines. Mentor ML engineers.

As a Senior Machine Learning Engineer at Adobe, you'll design AI systems and build ML workflows, working closely with product and research teams to enhance customer experiences through innovative AI solutions.