Machine Learning Jobs in Sunnyvale, CA

The role involves optimizing machine learning approaches for 3D simulation, collaborating with diverse teams, and building scalable ML pipelines.

Lead the Machine Learning Platform team at Discord, focusing on building and maintaining ML infrastructure and tools to enhance user experiences.

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

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

Lead the design and deployment of ML systems to enhance customer experiences, mentor engineers, and drive AI initiatives, collaborating closely across teams.

Lead the development of generative AI services and APIs at Adobe. Architect ML workflows, optimize inference pipelines, and drive cross-functional collaboration.

Lead the design and deployment of machine learning models to enhance user experiences, collaborate with teams, and drive innovation in AI-powered tools.

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.

The Principal Technical Program Manager will lead complex programs focusing on AI/ML and cloud solutions, collaborate with engineering teams, and drive execution with a customer-centric approach.

As a Senior Machine Learning Engineer, you'll own the ML lifecycle, build scalable data pipelines, and collaborate cross-functionally to enhance Cognitiv's deep learning infrastructure.

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.

Design and implement deep learning algorithms for autonomous driving, optimizing neural networks for real-time performance, and integrating multimodal data.

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

The role involves applying machine learning in drug discovery, working with experimental teams to assess and improve AI models, and validating model predictions.

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

As a Sr. Software Engineer, lead the development of AI-powered systems for Payment Integrity. Collaborate with teams, mentor engineers, and enhance system reliability while processing large-scale unstructured data.

The role involves leading AI initiatives, solving machine learning challenges, mentoring teams, and collaborating on innovative solutions for manufacturing applications.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.