Machine Learning Jobs in Sunnyvale, CA

The Machine Learning Engineer will improve enterprise search systems using traditional machine learning and generative AI, collaborating with various teams to enhance the platform's capabilities.

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

Build, optimize, and scale end-to-end ML infrastructure for training, evaluating, and serving large language models. Implement distributed training and low-latency inference pipelines, abstractions to automate ML workflows, collaborate cross-functionally, and drive best practices for ML and data engineering to support production LLMs at scale.

Design, architect, integrate, and test high-speed embedded audio/video and digital systems and PCBAs. Lead full lifecycle PCB design, perform EMI/ESD/thermal testing, develop test fixturing, create technical documentation, participate in design reviews and xFMEA, and collaborate with cross-functional teams to ensure reliability and compliance.

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

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.

Lead and grow a TPM function for the Data org, owning delivery of data platform, ingestion, pipelines, enrichment, labeling, and dataset quality. Drive flagship programs, establish scalable governance and KPIs, coordinate cross-functional dependencies, and partner with engineering to improve data quality, throughput, cost, and time-to-insight.

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 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 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.

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.

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.

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.

Serve as a strategic talent partner advising executives on hiring strategy, organizational design, and workforce planning. Lead full-cycle recruiting for engineering, AI/ML, infrastructure, and leadership roles while improving recruiting operations, sourcing automation, and candidate experience. Coach managers across the employee lifecycle and use talent intelligence to influence business decisions.

Lead platform and vertical product for agentic tooling enabling Physical AI. Prioritize platform vs vertical features, partner with engineering, TPMs, and design to deliver products, own lifecycle, present to customers, shape go-to-market, and create positioning and marketing content.

Provide strategic legal guidance to Product, Engineering, and Marketing on autonomy and AI-related issues including privacy, data protection, accessibility, IP, and integrations. Lead cross-functional compliance, safety, and IP projects, manage the patenting program, draft and review customer and inbound contracts and external materials, and build policies, playbooks, and processes. Support M&A and engage with regulators and industry groups as needed.

Bay Area-based hunter Enterprise Account Executive responsible for prospecting, developing, and closing new enterprise business for Anyscale. Manage complex sales cycles, achieve quotas, lead CxO engagements, qualify opportunities, collaborate with marketing, and drive ongoing account growth while advising customers on ML, compute, and cloud solutions.

Own core NVMap components for L3/L4 autonomous driving. Define and align map requirements with partners, produce long-term product specifications, coordinate cross-functional roadmaps, track delivery risks, and ensure on-time business delivery while working closely with engineering and stakeholders.

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

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.

The role involves designing and optimizing ML infrastructure for large language models, collaborating with teams, and implementing best practices in ML and data engineering.

Lead engineering teams building analyzers and debuggers (e.g., Intel System Debugger, VTune) to enable observability, profiling, and performance analysis. Define strategy, collaborate across HW/SW, drive technical excellence, mentor engineers, and deliver products for AI/HPC and developer communities.

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 design and implementation of scalable, domain-driven web architectures. Build high-performance backend services (Node.js/TypeScript), responsive React frontends (TanStack), and PWAs (Service Workers/Workbox). Design REST and GraphQL APIs, event-driven systems, data synchronization for intermittently connected clients, and manage client/server persistence (IndexedDB/Dexie, SQLite, PostgreSQL). Deploy cloud-native solutions on AWS (EKS, S3, SQS, SNS, API Gateway, Cognito). Mentor engineers and ensure engineering best practices, testing, and regulatory alignment.