Machine Learning Jobs in Santa Clara, 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.

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.

Develop and deploy ML and generative AI solutions to predict and optimize power delivery networks (PDN), automate PDN root-cause analysis, and enable AI-assisted power integrity and packaging co-design across design, CAD, and product teams to accelerate tapeout and improve silicon outcomes.

Develop and productionize machine learning systems for personalization, ranking, recommendations, retrieval, and adaptive customer experiences. Design experiments, evaluate model performance, engineer features, prepare data, and improve model quality. Collaborate with engineering, product, analytics, and science teams on scalable ML services, APIs, data models, deployment, monitoring, and operational performance. Apply deep learning, recommender systems, sequential modeling, embeddings, experimentation, and MLOps practices in large-scale consumer environments.

Develop and productionize machine learning systems for personalization, recommendation, ranking, retrieval, traveler understanding, and sequential modeling. Lead end-to-end scientific work including problem formulation, data exploration, feature engineering, model development, experimentation, evaluation, and operationalization. Collaborate with engineering, product, and business stakeholders on system and API design, mentor other scientists, influence technical direction, and apply advanced deep learning and foundation-model techniques at scale.

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.

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.

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.

Develop and deploy EDA/CAD software, automation, and AI-assisted tools to accelerate custom memory IC design workflows. Collaborate with design, layout, verification, and CAD teams to integrate LLMs, generative AI, and automation into verification, modeling, and tape-out flows.

Identify enterprise AI opportunities, evaluate emerging models and platforms, build prototypes and proofs-of-concept, quantify business value, and present recommendations to technical and executive stakeholders to drive AI adoption across the company.

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.

Ten-week, full-time paid Data Science internship for current PhD students. Interns will build and evaluate modeling and analytics tools, integrate internal and external data sources, design data science models, and communicate results. Candidates must continue their PhD after the internship and may be evaluated for full-time roles upon graduation.

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.

Design and implement scalable backend services and data pipelines for exposure and risk intelligence. Build Golang/Python microservices, integrate messaging (Kafka), manage databases and cloud infrastructure, ensure reliability and monitoring, mentor engineers, and collaborate cross-functionally to deliver risk scoring, attack-path analysis, and remediation automation for hybrid environments.

The role involves developing LLM applications for automated silicon design, optimizing models, curating datasets, and collaborating with other experts to integrate LLMs into EDA workflows.

Lead vision, roadmap, and commercial strategy for Expedia Group's Travel Media Network. Drive product capabilities, integrations, ecosystem partnerships, measurement, and cross-functional execution to scale the retail media network and deliver measurable advertiser outcomes while ensuring privacy, data integrity, and launch readiness.

Design, build, and operate scalable hybrid human/machine data labeling platforms for autonomous vehicles. Own end-to-end projects, define platform roadmap, integrate ML-driven annotation, build high-performance UIs/APIs, and collaborate across ML, product, and operations to improve labeling quality and velocity.