Machine Learning Jobs in Sunnyvale, CA

The Senior Staff Machine Learning Engineer will improve Coupang's search and discovery systems using advanced algorithms, addressing bottlenecks, proposing solutions, and leading projects involving personalization and recommendations.

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.

The Research Scientist will develop new recommendation system technologies using LLMs, conduct research, build prototypes, and collaborate with product teams to implement solutions.

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.

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 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.

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.

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.

Lead and deliver compiler software programs across multi-functional, global teams. Drive projects using Agile and Waterfall, define and improve processes, escalate risks, report status to executives, and resolve technical and resource conflicts to meet release goals.

Conduct research and develop algorithms for structured AI models, focusing on efficient data representation, learning, and optimization for enterprise applications. Collaborate with teams to transform theoretical models into practical systems.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

Lead a team developing multimodal ML frameworks for Tapestry, focusing on machine learning architecture, deployment, and collaboration with stakeholders to enhance energy grid systems.

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

Design and scale advanced ML models and systems for prediction and recommendation. Mentor junior engineers while leading projects occasionally.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

The role involves incorporating machine learning techniques into sensor simulation, working with teams to develop effective models for Lidar, Radar, and Camera systems.