Machine Learning Jobs in San Jose, CA

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Product Development Engineer drives testability and manufacturability of circuits, performs yield analysis using data science techniques, and interfaces with various engineering teams to optimize silicon yield and quality.

The role involves leveraging AI for pre-silicon functional verification, collaborating with engineers to innovate verification methodologies.

The engineer will leverage AI to enhance pre-silicon verification processes, collaborate with teams, and improve methodologies using advanced tools.

The intern will profile, optimize, and automate training processes for BEV models, developing custom kernels and leveraging LLMs for performance improvements.

The role involves developing machine learning algorithms to enhance customer experience. Responsibilities include end-to-end ML lifecycle management, validating models, and collaborating with teams to address complex problems.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

The Principal Risk Quality Engineer leads the Risk Management process for AI/ML medical technology, ensuring safety, compliance, and risk assessment throughout the product lifecycle.

The Senior Machine Learning Scientist leads projects improving customer experiences through GenAI and LLM solutions, manages ML lifecycles, and collaborates with cross-functional teams.

Design and implement ML algorithms for AIOps that analyze high-volume telemetry streams in real-time, optimizing for resource constraints. Collaborate with Data Science and maintain end-to-end ML pipelines.

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

As an ML Engineer specializing in inference, you will optimize models for production, implement neural network techniques, and collaborate with researchers.

The role involves collaborating with customers to solve engineering challenges using machine learning, develop solutions, train teams, and improve products based on feedback.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The intern will design and implement AI-driven automation workflows to enhance the silicon testing process, collaborate with engineers, and document automation recipes.

As a Staff Experience Designer at PayPal, you'll design tools and dashboards for AI/ML in risk management, enhancing user experiences and simplifying complex workflows.

The Principal Product Manager will lead the development of AI solutions for GEICO's sales division, driving strategy, execution, and collaboration across teams to enhance customer experience and operational excellence.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

As a Staff Software Developer in Test, you'll leverage AI for QA to improve testing processes, implement automation, and support the QA team.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

The Senior Director, Intelligence leads analytics initiatives, managing teams to develop insights and frameworks that enhance decision-making across Duck Creek Technologies. They ensure scalable and trusted analytics while collaborating with product, engineering, and business stakeholders to drive data-informed strategies and operational excellence.

As an ML Engineering Intern, you'll support the perception and learned-behavior teams, developing code for automation and working with real field data on projects involving model training, optimization, and simulation.

The role involves designing and deploying Vision-Language-Action models for outdoor autonomy, developing robust data pipelines, optimizing models for edge deployment, and collaborating with multiple teams for integration and evaluation.

Lead the development and integration of advanced AI-driven software systems for next-generation electric vertical takeoff and landing aircraft, ensuring reliability and safety in collaboration with cross-functional teams.