Machine Learning Jobs in Santa Clara, CA

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

Manage complex business-facing technology projects, connecting solutions to finance and business processes. Track requirements and manage project communications across teams.

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

In this role, you'll design and train large-scale AI models for autonomous driving, develop innovative learning frameworks, conduct research, and define benchmarks while contributing to a fast-paced interdisciplinary team.

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.

The role involves developing AI agents for VLSI design optimization, collaborating with teams, and employing machine learning techniques to improve design flows.

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 Organic Growth Associate will build Jerry's organic presence on platforms like Reddit and TikTok, develop community engagement strategies, and collaborate with teams to grow brand presence while measuring key metrics.

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.

The Principal Data & AI Strategist leads data science and AI initiatives, influences decision-making, mentors others, and ensures responsible AI practices across the organization.

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.

The role involves designing and implementing agentic workflows for ML, building AI-native systems, and improving model development through automation and self-improving loops.

The Senior Software Development Engineer leads the design and development of scalable applications, mentors junior engineers, and ensures security and performance standards.

The Demand Planner is responsible for improving forecast accuracy, analyzing market trends, and collaborating across functions to support supply chain effectiveness and strategic decision-making.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

Recruit senior technical roles in Data Infrastructure and Machine Learning Engineering, collaborating with hiring managers and sourcing candidates from diverse platforms.

Seeking a Research Scientist to develop AI models for enhancing 3D reconstruction processes, requiring strong skills in computer vision and neural reconstructions.

As a GenAI Research Scientist/Engineer, you will lead efforts in adapting large-scale generative models, focusing on personalizing outputs, conducting applied research, and collaborating with cross-functional teams on production integration.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

Develop efficient ML solutions for perception including sensor fusion, obstacle detection, scene understanding, and robust onboard systems.

Develop and apply machine learning models using data from HPC simulations, focusing on plasma and electromagnetic simulations in the semiconductor industry.