Machine Learning Jobs in San Jose, CA

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.

The Staff Machine Learning Engineer will develop and optimize ML models and Generative AI applications, collaborating on architecture and driving solutions while mentoring peers.

As a Machine Learning Engineer, you will develop and optimize ML models and applications, ensuring scalable workflows and collaboration across teams.

The position involves developing predictive models using machine learning techniques, collaborating with teams on product development, and optimizing algorithms for large-scale datasets.

The Applied ML Research Engineer will develop and deploy advanced video AI models, collaborating with product teams and Adobe Research to drive innovations in video understanding and content creation at scale.

The Staff Machine Learning R&D Engineer will innovate machine learning algorithms for spatial computing, collaborate with teams, and translate research into production solutions.

Develop and operate high-performance computing clusters for AI/ML workloads, ensuring scalability, performance, and reliability through collaboration with cross-functional teams.

Responsible for developing high-throughput assays, generating biological data, and collaborating with multidisciplinary teams to enhance AI models for therapeutic molecule design.

Optimize machine learning models for embedded environments, focusing on performance, efficiency, and deployment strategies across various platforms.

You will create architectural models for ML accelerators, analyze workloads, drive testing correlations, and build scalable performance analysis tools.

Collaborate to develop generative models for autonomous driving, focusing on plan generation and optimizing models through reinforcement learning.

Develop and optimize generative models for autonomous planning using reinforcement learning and collaboration across teams. Requires strong programming skills and research experience in generative models.

Design and develop scalable data pipelines and storage systems for machine learning evaluation, and create tools for data annotation and monitoring.

The Staff Machine Learning Engineer will develop ML models and algorithms for advertising on Coupang's platform, focusing on user journey analysis and search relevance innovations.

Develop and maintain machine learning models for robotics applications, collaborate across teams, and contribute to innovative solutions in AI and mobility.

The Applied ML Research Engineer will research, design, and implement ML models focusing on GenAI for enterprise applications, collaborating with product teams and partners.

As a Senior ML Applied Research Engineer, you'll research and deploy ML models, build AI workflows, and collaborate with internal teams to translate innovations into production features.

Lead collaboration to improve ML workloads on cloud and self-driving cars, optimize models, and mentor junior engineers.

The role involves designing, developing, and implementing machine learning models while collaborating with teams to enhance services and deploy solutions effectively.

Lead the design, development, and implementation of advanced machine learning models, collaborating with teams to enhance services and drive insights.

The job involves developing and optimizing machine learning models, overseeing model risk, and collaborating with teams on AI-related projects.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

Lead AI/ML platform initiatives, manage TPM teams, drive infrastructure roadmap, optimize resource usage, and establish governance frameworks for NVIDIA's DGX Cloud.

The role involves designing machine learning models, analyzing data for patterns, maintaining data workflows, and collaborating with cross-functional teams to drive business insights.

As a Sr. Machine Learning Engineer, you'll build agent capabilities, integrate AI systems, and partner to enhance creative workflows using LLMs and VLLMs.