Machine Learning Jobs in Sunnyvale, CA

Design and implement AI systems and scalable machine learning models, perform data wrangling and software engineering to deploy AI solutions, interpret data for client recommendations, collaborate across teams, uphold technical standards, and build client relationships while navigating complex, ambiguous problems.

Build AI-powered agent builder features and scalable fullstack web applications for the Moveworks Agentic Assistant ecosystem. Design web technology stacks, authentication, event tracking, application platforms, design systems, and backend APIs. Collaborate with product, ML, and engineering teams to improve user experience and customer adoption while promoting modular, reliable engineering practices.

Design and build cloud-based AI and machine learning solutions for ServiceNow’s conversational analytics products. Drive architecture and technical direction, create prototypes, collaborate with engineering and product teams, and own software through delivery. Develop agentic analytics capabilities involving semantic layers, knowledge graphs, data catalogs, and contextual engines. Coach engineers, communicate with technical and executive audiences, and prioritize customer outcomes such as accuracy and evaluation quality.

Maintains internal technical education content and coordinates recurring Lunch and Learns, engineering demos, and training sessions. Responsibilities include speaker scheduling, notes and recording publication, content audits, editorial updates, research, drafting, request tracking, and improving content discoverability. The role partners with engineers and subject matter experts to turn technical material into accessible learning resources and supports instructional design and curriculum development.

Leverage advanced analytics, data manipulation, visualization, statistical modeling, predictive analytics, and machine learning to generate client insights and recommendations. Apply Adobe Experience Cloud solutions to support business transformation and strategic decision-making. Build client relationships, manage and inspire teams, navigate complex engagements, uphold professional standards, and deliver quality outcomes while developing technical and consulting expertise.

Leads data analysis and advanced analytics workstreams for clients, using statistical modeling, machine learning, data visualization, and Adobe Experience Cloud technologies to improve operations and strategic decision-making. Manages project planning, budgeting, execution, and completion while mentoring teams, maintaining data integrity and security, building Tableau and Power BI dashboards, identifying business opportunities, and integrating innovative analytics practices.

Develop and optimize search relevance for an enterprise question-answering platform. Build ranking features and frameworks, enable parallel ranking experiments, and create metrics to evaluate ranking performance. Analyze query logs to identify search-quality improvements and apply information retrieval, machine learning, text processing, and natural language understanding techniques. Collaborate with product, UX, customer success, and engineering teams to deliver improved answer quality.

Develop machine learning and generative AI capabilities for conversational enterprise search, including multi-turn question answering, information retrieval, ranking, evaluation, and LLM-enabled features. Build scalable platform frameworks that help product teams prototype and deploy search applications. Establish metrics for search quality, security, privacy, and scalability while collaborating with product, design, infrastructure, data science, and engineering teams. Contribute to a high-performing and inclusive engineering culture.

Lead development of Moveworks' fullstack web applications and AI-powered agent builder experiences. Design scalable UI frameworks, web technology stacks, authentication, event tracking, design systems, and APIs. Collaborate with product, machine learning, and engineering teams to improve user experience and customer adoption while delivering reliable, modular solutions for global enterprise customers.

Develop search relevance algorithms for an enterprise question-answering platform. Create and optimize ranking features, build frameworks for diversified ranking, design tooling for parallel ranking experiments, and develop metrics to evaluate search quality. Analyze query logs to identify improvements and collaborate with product, UX, customer success, and engineering teams to deliver accurate answers across heterogeneous knowledge sources.

As a Research Product Manager, you will oversee complex research programs, turning technical ideas into execution plans and aligning research with production systems to enhance AI capabilities.

Lead executive product vision and multi-year roadmap for CrowdStrike's Endpoint Protection Platform. Own AI-native strategy, EPP/EDR/XDR roadmap, partner ecosystem, and executive representation. Build and scale senior product teams, align cross-functional stakeholders, manage budget, and drive platform extensibility, telemetry, detection, and automated response at global scale.

Build cloud-based AI and machine learning solutions for intelligent enterprise services. Collaborate with developers, product managers, quality engineers, and product owners to design, implement, test, and deliver scalable software. Apply high-performance algorithms, core AI/ML techniques, object-oriented programming, unit testing, profiling, and code tuning to improve user experiences and workflow efficiency.

Own the design and adoption of ServiceNow’s AI product evaluation and feedback ecosystem. Build automated evaluations, human review processes, feedback taxonomies, and closed-loop improvement mechanisms across AI-powered support products. Partner with Product, AI/ML Engineering, Data, Telemetry, and Operations teams to define requirements, metrics, governance, and prioritization. Use evaluation findings and customer support insights to improve resolution quality, establish shared development standards, and influence senior stakeholders across the organization.

Design and build scalable backend services and risk intelligence platform components using Golang/Python and microservices. Architect data pipelines, databases, and monitoring; implement high-throughput Kafka-based ingestion and risk calculations; ensure production reliability, performance, and remediation automation; mentor engineers and collaborate cross-functionally to deliver secure, observable systems.

Lead product strategy and roadmap for AI-native capabilities in CrowdStrike's Next-Gen SIEM. Collaborate with engineering, data science, research, marketing, sales, and support to design, deliver, and position AI-driven detection, investigation, and prevention features. Conduct competitive analysis, define use cases, and engage customers to inform product direction while supporting go-to-market and cross-functional execution.

The Staff Software Engineer will lead technical projects on the Secondary Driving System, focusing on software architecture, multi-sensor perception, and integration, while mentoring the engineering team.

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.

Lead and manage internal audit and SOX engagements, implement audit methodologies, use AI and risk technology to optimize processes, assess controls and financial statements, mentor staff, produce audit reports, and collaborate with stakeholders to mitigate risks and support client growth.

Architect and build a scalable risk intelligence platform: design backend Golang microservices, ingest high-volume data, run complex risk calculations, enable remediation automation, design infrastructure and pipelines, ensure reliability and monitoring, collaborate cross-functionally, and mentor engineers.

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.