Machine Learning Jobs in Sunnyvale, CA

Conduct computational and experimental research in fluid mechanics, heat transfer, and soft matter transport. Apply colloid and interface science, thermodynamics, electrokinetics, rheology, mathematical modeling, direct numerical simulations, artificial intelligence, and machine learning. Work independently and collaboratively, publish high-quality research, meet deadlines, and develop predictive computational tools addressing engineering grand challenges.

Maintains mission-critical infrastructure, cloud platforms, microservices, tools, and processes for high availability and reliability. Manages incidents, delivers platform and ML capabilities, and performs software development lifecycle activities including coding, testing, deployment, monitoring, and maintenance. Applies cloud-native architecture, develops AI-driven applications, mentors engineers, influences technical decisions, collaborates with stakeholders, and drives continuous process and product improvement.

Design and build AI-driven web products and platform infrastructure for chip design workflows. Implement high-performance APIs, backend services, data pipelines, and distributed systems. Own technical strategy, collaborate with product and engineering teams, and work across frontend and backend to deliver scalable, maintainable tools.

Leads data-driven business operations initiatives, including customer and partner growth, product experimentation, acquisition strategy, and process optimization. Partners with marketing, product, and business development teams; designs and analyzes A/B tests; applies machine learning and SQL-based analysis to generate strategic insights and improve operational efficiency.

Drive data-informed decisions across growth, product, marketing, and business development initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying scalable acquisition and partnership levers, extracting insights with machine learning models, and automating manual processes to improve operational efficiency.

Lead data-driven business operations initiatives, including customer and partner growth, product experimentation, acquisition strategy, and process automation. Partner with marketing, product, and business development teams; design and analyze A/B tests; use SQL and machine learning models to generate insights; and communicate recommendations to stakeholders from frontline teams through executives.

Drive data-informed decisions across business initiatives, including carrier growth, product launches, user acquisition, and partnerships. Lead A/B experiment design and analysis, identify profitable growth levers, generate customer and business insights, and automate manual processes to improve operational efficiency. Collaborate with marketing, product, and business development teams while communicating recommendations to audiences ranging from frontline employees to executives.

Develop and maintain prompts, responses, and datasets for large language models. Lead labeling initiatives with internal teams and third-party firms, create stakeholder guidelines, and train teams on LLM and dataset development best practices. The role requires native-level English, bilingual proficiency in an additional language, specialized domain knowledge, and a college degree or equivalent experience.

Leads and grows engineering and machine learning teams developing enterprise-scale AI Search, retrieval, ranking, recommendation, personalization, and RAG systems. Owns architecture, strategy, roadmap execution, production deployment, reliability, observability, relevance optimization, and performance. Partners with product, AI, platform, UX, and quality teams to deliver AI-powered experiences for millions of users while mentoring technical leaders and driving innovation.

Develop and ship production machine learning systems, converting research into products and building data diversification, data population, and ML pipeline workflows. Apply LLMs, VLMs, and agentic systems to data generation, define evaluation criteria, and conduct offline evaluations before production changes. Collaborate across engineering and science teams while addressing reliability, latency, cost, fallback, and tool-call recovery challenges.

Leads development of scalable cloud-native platform capabilities for catalog data management. Responsibilities include software design, coding, testing, deployment, monitoring, maintenance, infrastructure and tooling initiatives, AI/ML integration, system design reviews, stakeholder collaboration, mentoring engineers, and continuous improvement. Builds microservices, APIs, and automation using Java, Spring Boot, React, Kubernetes, Python, and JavaScript.

Lead engineering and product efforts to design and implement Agentic AI and conversational/web features using LLMs. Collaborate with ML experts, PM, UX, and GTM to scope, deliver, and scale enterprise AI product capabilities across customers and markets while mentoring engineers and shaping product direction.

Lead product strategy and execution for an enterprise-scale AI-powered search platform. Own platform scalability, search quality metrics, ML performance tradeoffs, cross-functional roadmaps, and translate ambiguous user needs into clear specs and success metrics to deliver performant, enterprise-grade AI search features at scale.

Lead development of a generative-AI-enabled enterprise search platform: architect abstractions, build ranking and multi-turn QA systems, integrate LLM and RAG features, create evaluation metrics, and mentor engineers and hiring processes.

Build and improve enterprise conversational search and question-answering systems using IR and generative AI. Implement retrieval, matching, ranking, and summarization across heterogeneous knowledge sources, develop LLM-enabled features, and create evaluation metrics addressing enterprise constraints like security, privacy, and scalability.

Improve enterprise search relevance for a question-answering platform by crafting and optimizing ranking features, building algorithm frameworks, enabling parallel ranking experiments with tooling, analyzing query logs, and developing metrics to evaluate and boost answer quality across heterogeneous knowledge sources.

Design and build scalable backend services and data pipelines for CrowdStrikes Exposure Management platform. Implement microservices in Golang/Python, process high-volume data, perform risk calculations, integrate cloud infrastructure, ensure reliability and monitoring, mentor engineers, and drive architectural improvements and remediation automation.

Develops high-fidelity product demonstrations, functional prototypes, interactive experiences, front-end solutions, and reusable creative tools for Microsoft marketing. Translates creative concepts into technically feasible, product-accurate experiences for web, social, events, film, and keynotes. Partners with designers, producers, product marketing, and engineering while integrating AI tools, browser interactivity, real-time engines, code-driven animation, plug-ins, and APIs.

Develop predictive and control algorithms for semiconductor manufacturing using physics-based modeling and machine learning. Build scalable sensor-data pipelines, ML surrogates, reduced-order models, and production software integrated with manufacturing tools, control systems, and dashboards. Analyze sensor and metrology data, optimize model performance, and collaborate across physics, engineering, software, and data science teams to deploy intelligent automation solutions.

Set the vision and roadmap for AI-powered skilling products, translating customer insights into measurable learning experiences. Lead prioritization across content, platform, telemetry, privacy, cost, and compliance; partner with Design and Engineering to launch trustworthy LLM-powered features. Drive product quality, experimentation, adoption, retention, enterprise partnerships, and cross-functional execution across multiple squads.

Lead development of an evaluation platform for agentic AI and LLM systems. Design benchmarking, human review, LLM-as-judge, monitoring, annotation, dataset versioning, and data quality workflows. Own technical architecture, production infrastructure, stakeholder reporting, and platform health while partnering with research, product, and platform teams. Mentor engineers and support scalable AI experimentation and deployment.

Senior Software Engineer responsible for designing, developing, testing, deploying, and monitoring scalable software for Sam’s Club Scan & Go. The role requires Node.js and Java development, AI/ML integration, CI/CD, automated testing, performance monitoring, technical design, stakeholder collaboration, and peer mentoring. The engineer will own feature delivery, troubleshoot application issues, promote engineering best practices, and support reliable, secure, maintainable mobile application experiences.

Leads the functional and technical design of AI-powered Oracle supply chain planning solutions. Translates demand, supply, inventory, MRP, and fulfillment workflows into production-ready agentic applications using OCI, Oracle AI Database, AI Agent Studio, and machine learning platforms. Responsibilities include data pipelines, master data optimization, OTBI and BI Publisher reporting, SQL/PL-SQL and Python development, LLM and RAG solutions, model deployment, integrations, architecture documentation, and delivery through CRP, SIT, and UAT.

Software Engineering Interns will design, build, test, and ship frontend, backend, mobile, infrastructure, and AI-powered features. Responsibilities include developing APIs and services, building clinician and healthcare workflows, working with healthcare data and integrations, improving production reliability and scalability, and participating in code reviews and technical design discussions. Interns collaborate with product, design, data, infrastructure, and clinical teams while gaining experience taking software from concept to production.

Develop machine learning, computer vision, sensor fusion, and medical image analytics algorithms for Intuitive’s Ion robotic lung biopsy platform. Prototype, test, evaluate, and productionize solutions in Python and/or C++. Collaborate with medical imaging, robotics, and software experts; assess failure modes, implement hazard mitigations, and apply current research to create robust medical-device software.