Machine Learning Jobs in Santa Clara, CA

Own end-to-end product design for Jerry's mobile and web experiences: map user flows, create wireframes, prototypes and high-fidelity UI, leverage research and analytics, evolve the design system, and apply AI to improve personalization and automation.

Lead global AI/ML engineering to define and execute model and platform strategy, build agentic AI and omni-channel AI experiences, scale ML infrastructure (training, feature stores, serving, MLOps), drive applied research (NLP, generative AI, RAG, RL), and recruit and grow a 100+ engineering organization to deliver enterprise-grade AI for Fortune 500 customers.

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

The role involves designing, implementing, and optimizing CUDA-based kernels for autonomous vehicles, ensuring high-performance ML inference for AV software.

The Principal AI/ML Engineer will lead the AV ML Infra team, overseeing scalable ML infrastructure, project ownership, collaboration, and team mentorship in AI and ML innovation at GM.

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 System Architect will define and integrate sensor systems for automated driving, focusing on system-level requirements, validation, and vehicle architecture designs.

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

As a Machine Learning Engineer Intern, you will develop an AI assistant, implement RAG architecture, create data pipelines, and fine-tune LLMs to handle internal queries about autonomous driving data.

As an ML Infrastructure Engineer, design backend components, enhance platform performance, and drive system improvements while collaborating across teams.

Lead applied machine learning research to improve validation of ML components in autonomous vehicles, focusing on simulation-led strategies and automating validation processes.

As a Senior ML Engineer, you'll design and deploy advanced machine learning systems for autonomous vehicles, ensuring real-time performance and robustness in diverse conditions. You'll lead technical projects, mentor engineers, and collaborate across teams to enhance onboard capabilities.

Lead an AI platform team to design, build, and deploy agentic, reusable AI services for healthcare payment integrity and clinical workflows. Provide technical and strategic leadership, drive deployment automation, CI/CD, production observability, ethical AI practices, and cross-functional partnership to ensure secure, scalable delivery and measurable business outcomes.

Lead and coordinate cross-functional engineering programs for deep learning and GenAI software. Plan, forecast, track dependencies, define metrics, report status to senior management, moderate technical discussions, and drive process improvements across global teams.

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.

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

The Senior Staff Physical AI Data Algorithm Engineer is responsible for designing and optimizing a vehicle-cloud data closed-loop architecture, managing data toolchains, and ensuring high-quality data standards throughout the model development cycle.

Lead the architecture design and R&D in synthetic data and simulation systems for autonomous driving and robotics, ensuring high-quality data generation and closed-loop simulations.

Lead the architecture and deployment of LLM-powered conversational chatbot systems, optimizing performance and ensuring scalability in a crypto environment.

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

Design, implement, and maintain full-stack software for advanced robotic platforms: scalable backend services, responsive frontends, secure APIs, hardware integration, data pipelines, dashboards, and ML model integration. Collaborate across teams, participate in design reviews, and translate requirements into robust, maintainable robotic software solutions.

Lead the data and ML product vision: define roadmap, prototype models on noisy behavioral datasets, translate signals into user-facing features, partner with engineering to productionize ML, and generate insights to inform product roadmaps.