Machine Learning Jobs in Santa Clara, CA

Lead the design, development, deployment, and operation of machine learning models and platforms at scale. Build distributed ML infrastructure, data pipelines, cloud-based architectures, and production services. Develop and test application code, automate deployment, monitor and retrain models, and apply CI/CD, governance, security, and responsible AI practices. Collaborate with Product, Data Science, and Agile teams to solve complex business problems.

Lead data science for AI Foundations, developing and deploying large-scale NLP, machine learning, and generative AI solutions. Partner with software engineering, ML engineering, product, and design teams to build customer-facing applications. Train, fine-tune, evaluate, and operationalize language models and other advanced models using technologies including PyTorch, AWS, Hugging Face, LangChain, and VectorDBs. Provide technical leadership, communicate complex findings, and develop team talent.

Develop experiments, causal inference analyses, exploratory data analyses, and machine learning models for Uber’s fares platform. Refine ambiguous business questions, generate hypotheses, influence product strategy, and collaborate with product, engineering, operations, and other teams. Communicate findings to technical and executive audiences while developing AI agents to automate data science workflows.

Lead NVIDIA’s AI for Quantum product strategy, roadmap, and go-to-market initiatives. Translate AI and quantum research into scalable platforms, developer tools, APIs, libraries, and workflows. Partner with researchers, engineers, quantum hardware companies, institutions, and developers to identify applications across quantum design, control, calibration, error correction, and algorithms. Evangelize the platform through technical communications, identify new AI, HPC, and quantum opportunities, and present product strategy to executives.

Leads and builds NVIDIA’s AI Safety and Security Engineering team, hiring engineers across platform, security research, evaluation, and vulnerability tooling. Owns the Find, Validate, and Patch roadmap; guides architecture and evaluation trade-offs; partners with security, platform, and evaluation leaders; and communicates engineering progress clearly. The role requires extensive software engineering and engineering management experience, with expertise in complex systems, ML infrastructure, security tooling, or distributed platforms.

Develop high-performance AI kernels and software for neuromorphic hardware. Optimize convolutional, transformer, and generative AI workloads using parallelism, sparsity, quantization, fusion, and related techniques. Build performance, power, and area models, reference implementations, benchmarks, validation tools, and regression infrastructure. Collaborate with hardware, compiler, runtime, and application engineers throughout the hardware-software lifecycle.

Develop and optimize GPU-accelerated generative AI training and inference workloads on NVIDIA platforms. Collaborate with developers, academia, and internal engineering teams to improve algorithms, frameworks, low-level libraries, hardware, and software performance. Analyze CPU and GPU architectures, contribute to open-source projects, and communicate innovations through technical publications and conferences.

Leads global People operations, HR technology, shared services, analytics, process transformation, and AI enablement. Establishes the People operating model, modernizes employee lifecycle processes, governs responsible AI use, advances predictive workforce insights, and defines performance metrics. Builds and leads global teams while partnering with IT, Security, Privacy, Legal, Finance, executives, the Board, and regional stakeholders. Owns significant budgets, vendor relationships, compliance, data governance, and enterprise HR transformation.

Design and lead cloud and in-car data mining strategies for autonomous vehicle perception and end-to-end models. Build AI-driven software to accelerate data mining, collection, delivery, and corner-case resolution. Develop operational processes using big data, statistics, and machine learning to ensure high-quality training data from production and collection vehicles. Collaborate with platform teams and balance cost, engineering quality, and delivery timelines.

Own and enhance global Accounts Payable systems, including OpenText VIM, SAP integrations, EDI, Beeline, and CounselLink. Lead workflow configuration, supplier onboarding, automation initiatives, reporting, system implementations, testing, releases, and continuous improvement. Support SOX controls, audits, access reviews, and change management while resolving complex production issues and guiding analysts. Partner with IT, Finance Systems, Procurement, Legal, and HR to deliver secure, compliant, touchless AP operations.

Develop and productionize ML models across the full stack, optimizing training and inference for GPUs, NPUs, and AI silicon. Build inference runtimes, MLOps pipelines, embedded system integrations, verification harnesses, and security-focused ML capabilities. Collaborate with hardware, RTL, firmware, and QA teams to deploy AI features under real-world latency, memory, power, and reliability constraints.

Develop, test, optimize, document, and troubleshoot distributed robotics software for agricultural and construction equipment. The role uses C++ in Linux environments and involves deployment support, system debugging, API and architecture documentation, work estimation, and collaboration with embedded software, QA, mechatronics, computer vision, and machine learning teams. Preferred experience includes sensor integration, vision systems, GPU computing on edge devices, Python robotics development, and autonomous vehicles.

Lead product strategy for Uber’s location, movement, and activity understanding systems. Partner with engineering and machine learning scientists to develop technically complex products involving geospatial data, sensors, real-time systems, safety, fraud, and autonomous vehicles. Drive cross-functional initiatives, experimentation, global scaling, and customer-facing experiences across Uber’s mobility and delivery businesses.

Lead Clover-wide AI product vision and roadmap, scaling generative-AI and predictive solutions for merchant commerce. Drive cross-functional delivery, AI governance, MLOps enablement, commercialization, and people leadership to launch and optimize AI-enabled POS and SaaS offerings.

Annotate robot episodes, videos, images, and sensor data for robotics AI models. Label objects, actions, task steps, and outcomes; write behavioral descriptions; identify ambiguous cases; perform annotation quality checks; meet accuracy and throughput goals; and report tool or workflow issues to engineering. The role requires high attention to detail, strong written communication, sound judgment, and comfort working under deadlines and ambiguity.

Lead the design and deployment of large-scale bioinformatics and omics pipelines spanning genomics, transcriptomics, and proteomics. Integrate multimodal biological data with machine learning, develop reproducible analysis frameworks, benchmark predictive models, and collaborate with wet-lab scientists to guide molecular engineering and experimental campaigns. Contribute novel computational biology algorithms, research roadmaps, and scientific leadership.

Develop high-performance C++ engines and algorithms for Innovus physical synthesis, placement, timing-driven optimization, and semiconductor design workflows. Responsibilities include graph and spatial algorithms, numerical optimization, multithreaded and distributed computing, performance profiling, memory optimization, and scalable PPA, timing, power, and congestion improvements. The role also involves translating research into production software and integrating AI-assisted optimization techniques.

Develop AI-driven automation and CAD methodologies for memory silicon design, including layout generation, floorplanning, AMS, PDN, analysis, optimization, and design-space exploration. Build production-quality software frameworks integrating EDA tools and workflows, improve design quality and productivity, and collaborate with design, layout, CAD, verification, and product teams to accelerate design convergence and time-to-tapeout.

Leads Applied Materials’ Record-to-Report finance workstream for a global SAP S/4HANA transformation. Owns future-state accounting processes, controls, operating model, automation, data governance, requirements, testing, deployment, adoption, and post-go-live improvement. Manages direct and matrixed teams, system integrators, executive governance, audit readiness, and cross-functional dependencies across Finance, IT, Data, Tax, Treasury, and Accounting.

Lead the vision, strategy, and execution of Salesforce PRM and partner experience capabilities. Own the roadmap for onboarding, enablement, deal registration, MDF, incentives, renewals, analytics, automation, and AI. Translate partner channel workflows into scalable solutions, integrate PRM with enterprise systems, and drive Agile execution. Collaborate with Sales, Marketing, Finance, Operations, engineering, and leadership to improve partner engagement, revenue attribution, and operational efficiency globally.

Supports payer modernization and health services consulting engagements by analyzing operational challenges, optimizing processes, applying business analytics, engaging stakeholders, implementing quality standards, and guiding transformation initiatives. Develops operational support frameworks, conducts market research, manages change, and advises clients on improving service delivery and business performance while mentoring junior team members.

Leads an engineering team building scalable ML data infrastructure, including data ingestion, processing, storage, access, pipelines, and analytical platforms. Defines architecture, evaluates technologies, improves performance and reliability, translates data requirements into technical solutions, and ensures governance, security, and regulatory compliance. Provides mentorship, strategic roadmap input, and cross-functional collaboration with ML engineers, data scientists, platform engineers, and product teams.

Own the strategy, roadmap, requirements, and end-to-end lifecycle for Cisco’s enterprise AI agentic platform. Lead cross-functional collaboration with engineering, design, security, legal, and business teams to deliver privacy-forward AI solutions. Gather user feedback, define product requirements, guide prototypes and pilots, integrate enterprise tools, and establish metrics to evaluate adoption and improve product outcomes.

Build, deploy, scale, and operate production machine learning models and platforms. Responsibilities include developing ML components, distributed data pipelines, cloud and Kubernetes infrastructure, model monitoring and retraining, CI/CD automation, responsible AI governance, and collaboration with product, data science, and engineering teams.

Develop AI-driven software systems for VLSI and circuit design, including machine learning models, combinatorial optimization algorithms, and agentic AI workflows. Analyze datasets, validate hypotheses, and build algorithms for circuit and layout optimization, pre- and post-silicon design, and SPICE correlation. Collaborate across engineering and research teams while advancing electronic design automation solutions.