Machine Learning Jobs in Santa Clara, CA

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.

The role involves developing AI applications for VLSI design using machine learning and related technologies. Duties include infrastructure design, AI solution implementation, collaboration with teams, and maintaining design databases.

Lead the design, implementation, and deployment of scalable ML infrastructure for autonomous driving. Drive technical projects, mentor others, and collaborate with teams to enhance ML workflows.

Lead research on machine learning validation for robotics and autonomy systems, focusing on simulation, uncertainty modeling, and creating functional prototypes for testing.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

As a Software Engineer, you'll develop software solutions for semiconductor equipment, lead projects, troubleshoot complex issues, and collaborate with customers on requirements.

Design, develop, and debug software solutions for semiconductor equipment, leading complex projects and communicating project requirements to customers.

Lead the development and commercialization of L4 autonomous driving systems, managing product roadmaps, strategy, and verification processes while collaborating with engineering teams and stakeholders.

Develop and deploy machine learning models on the da Vinci surgical robot by writing C++ applications, connecting to robot data streams, integrating model outputs, and using Linux build systems and command-line tools. Gain system-level understanding of the robot and collaborate with ML engineers/scientists. CUDA experience and ML knowledge are beneficial.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

Design and develop complex software solutions for semiconductor equipment, lead projects, define specifications, troubleshoot software problems, and communicate with customers.

As a Research Engineer, you conduct pioneering research in autonomous systems and develop models using large-scale data and advanced simulators, collaborating with scientists and contributing to high-quality publications.

As a Research Engineer, you will conduct research in robotics and AI, work with hardware and software for robotic systems, and collaborate on research publications.

Lead the AI strategy and programs for the PSM organization, focusing on AI-driven initiatives, tools integration, and stakeholder alignment to enhance productivity and business outcomes.

Own, design, build, and operate core components of a high-throughput, low-latency real-time ad decisioning system. Take end-to-end responsibility for subsystems (architecture, implementation, testing, deployment, on-call), diagnose concurrency/timing issues, collaborate with applied scientists on ML-driven decisioning, mentor engineers, and drive system evolution and operational excellence.

Lead Clover-wide AI product vision and roadmap, scaling generative-AI and predictive solutions for merchant commerce. Drive cross-functional delivery, AI governance, MLOps enablement, commercialization, and people leadership to launch and optimize AI-enabled POS and SaaS offerings.

As a Product Manager in Privacy-Preserving Machine Learning, you will define product vision, execute roadmaps, and collaborate on innovative, privacy-centric digital ad products.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Provide embedded legal counsel to product and engineering on privacy, IP, and consumer protection; lead Arena's global privacy program (GDPR, CCPA/CPRA, cross-border transfers); advise on AI governance and responsible deployment; support commercial contracts and data flow frameworks; build privacy processes, playbooks, internal agents, and legal-tech integrations to scale operations.

Develop and optimize high-volume Teradata data warehouse applications: design/architect solutions, model data, write and tune SQL, use Python scripting; ML and Hadoop experience a plus.

Architect role to design full-stack, large-scale solutions informed by leading tech companies. Requires deep ML/AI and large-data analysis knowledge, proficiency across languages/frameworks (Go, Scala, Python, R, MATLAB, Node.js, React), NoSQL expertise, and familiarity with mobile testing, deployment pipelines, and SRE practices. US work authorization required.

Design, build, and operate high-performance inference platforms for large ML models. Focus on request routing, batching, caching, autoscaling, GPU utilization, observability, performance engineering, and production reliability for diverse model workloads.

Develop and own AI/ML/DL methodologies to estimate pre-silicon power and improve GPU energy efficiency. Build data pipelines, tools for dataset gathering/annotation, LLM training/fine-tuning, RAG pipelines, vector DBs, agentic frameworks, visualizations, and analytics to drive power optimization and debugging across hardware and infrastructure teams.

Lead development of autonomous driving capabilities by designing and implementing machine learning, perception, control, and robotics solutions; integrate hardware and software, manage software development teams, and collaborate across engineering groups to deliver production-ready systems.

This role involves optimizing power efficiency in GPUs using AI, analyzing power data, developing models, and collaborating across teams.