Machine Learning Jobs in Santa Clara, CA

Design and implement digital ASIC logic across the full ASIC lifecycle: specifications, microarchitecture, RTL (SystemVerilog), simulation, synthesis, static timing analysis, timing closure, linting, CDC, and top-level integration. Leverage GenAI and agentic tools, collaborate cross-functionally, and support interfaces such as PCIe, NVMe, DRAM, NAND, and AXI.

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.

As a Senior Machine Learning Scientist, you will develop advanced machine learning models for personalization, collaborate with cross-functional teams, and mentor junior scientists, ensuring impactful solutions in production scenarios.

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

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 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 and own the design direction for Expedia Group's AI-powered search experiences. Drive vision, high-fidelity design, prototyping with LLMs, systems thinking, and cross-functional partnership to translate ML into intuitive, scalable search and discovery experiences while mentoring designers and establishing design standards across brands.

Lead design and deployment of enterprise-scale multi-agent AI systems across the semiconductor lifecycle. Define strategy, architect agentic AI platforms (LLMs, RAG, knowledge graphs), identify automation opportunities, establish AI governance, integrate with EDA and operations systems, mentor technical leaders, and represent the company externally.

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.

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.

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.

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.

Designs and delivers multi-modal technical learning programs for Sunnyvale engineering teams. Leads needs analysis, partners with senior technical stakeholders, facilitates training, owns program evaluation, and shapes technical development practice across sites.

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.

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.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

The Senior Product Marketing Manager will position CoreWeave's SUNK offering, develop messaging, and collaborate with engineering and sales teams to enhance product adoption and market understanding for AI training workloads.