Machine Learning Jobs in Sunnyvale, CA

Lead the Software Asset Management engineering team: set technical direction, manage product development and releases, drive testing and automation, integrate AI/ML features, mentor engineers, and coordinate cross-functional and global teams to ensure scalable, high-quality enterprise solutions and 24x7 support.

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.

Improve search-based question answering by designing and optimizing ranking features, building ranking algorithm frameworks, enabling parallel ranking experiments, and developing metrics to evaluate and boost answer relevance across heterogeneous knowledge sources.

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.

Lead product development for Agent Studio, a developer-facing agentic AI platform: define specs, partner with ML and platform engineers, design developer interfaces and end-user experiences, drive data-informed roadmaps, support deployments, grow the developer ecosystem, and win enterprise stakeholder trust.

Lead design and delivery of AI/GenAI solutions and scalable data infrastructure. Drive business development, manage multiple client engagements, mentor teams, implement AI models using Python and C++, ensure data quality, and promote innovation across projects.

Design, implement, and optimize large-scale autonomous vehicle simulation testing pipelines and shared libraries. Build automation for test creation, data collection/analysis, debugging, and monitoring. Integrate AI tools to automate test generation and analytics, lead technical roadmaps, perform code reviews, and mentor engineers to improve AV behavior validation and deployment.

The Staff Product Manager will lead the product vision and roadmap for AV capabilities, ensuring successful delivery and alignment across teams while applying analytical insights to measure progress and drive improvements.

The Group Product Manager for AV Capabilities at GM leads the strategy and roadmap for autonomy products, managing a team while collaborating cross-functionally to ensure quality delivery and innovation.

The Senior Director of Engineering leads engineering strategy, mentors teams, oversees project delivery, collaborates with stakeholders, and champions best practices for operational excellence.

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.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead development and implementation of advanced AI/ML solutions, design and optimize models and algorithms, transform raw data into actionable insights, manage projects end-to-end, supervise and mentor teams, maintain quality and standards, and manage client engagements and expectations.

Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.

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.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

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.

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 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.

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.