Machine Learning Jobs in Santa Clara, CA

The engineer will leverage AI to enhance pre-silicon verification processes, collaborate with teams, and improve methodologies using advanced tools.

As a Senior Technical Recruiter, you will design and execute hiring strategies to attract software engineering talent, manage multiple searches, and mentor other recruiters.

Lead a team of engineers in developing offline perception algorithms and data mining tools to produce high-quality data for autonomous driving.

Lead strategy, roadmap, and delivery of AI-driven networking products using ML, LLMs, generative and agentic AI. Translate customer needs into product requirements, define KPIs, align cross-functional teams, drive go-to-market and thought leadership, and mentor product managers.

Design and validate state-of-the-art classification algorithms for EEG and neurological indications using signal processing, time-series analysis and machine learning. Analyze large biomedical datasets, select evaluation metrics, document models for regulatory compliance, collaborate with clinical stakeholders, mentor junior staff, and manage multiple projects from concept to deployment.

Develop and validate compact transistor models (FinFET, GAA) and simulation methodologies for PDKs. Collaborate cross-functionally to ensure modeling readiness, perform statistical, RF and EM simulations, automate analysis with Python, and integrate innovative techniques like OMI and ML to meet delivery milestones.

The VP of Product will lead CoreWeave's Research Training Stack, focusing on enhancing AI infrastructure, ensuring quality for pre-trained models, and connecting researchers with advanced cloud capabilities.

Lead supply planning strategy for Boards and Systems products, develop scalable planning frameworks across components, ensure data integrity (BOM, yields, cycle times), accelerate time-to-market using advanced/AI planning, and manage global supply planning teams.

Develop efficient generative world models and planners for closed-loop autonomous-driving simulation. Responsibilities include designing diffusion or transformer-based models, enabling interactive agent simulation, optimizing inference latency and compute efficiency, defining evaluation metrics, integrating models into training and evaluation workflows, measuring sim-to-real performance, mentoring researchers, and contributing to technical roadmaps and publications.

Lead the architecture and deployment of LLM-powered conversational chatbot systems, optimizing performance and ensuring scalability in a crypto environment.

Lead development of real-time machine learning and computer vision algorithms for ultrasound imaging in Intuitive’s robotic-assisted biopsy system. Responsibilities include detection, segmentation, classification, temporal tracking, artifact mitigation, image fusion, model optimization, and deployment into high-performance C++ medical-device software. The role also supports system integration, testing, formal design documentation, and patent applications while collaborating with clinical and engineering teams under Good Machine Learning Practice principles.

Design and implement user-facing features for PlanPoint, prototyping GUI elements, producing robust C++ code, contributing to system architecture and documentation, and working cross-functionally on the Ion medical imaging planning platform.

Lead workload-driven AI/ML systems architecture across hardware and software. Own workload characterization, analytical performance modeling, KPI definition, and hardware performance analysis to guide SoC, memory, and HW/SW co-design decisions. Evaluate compute, memory, latency, and software bottlenecks; collaborate with CPU, compiler, runtime, and ML framework teams; present recommendations to leadership; and mentor junior engineers. The role requires expertise in processor and memory architecture, edge AI acceleration, performance modeling, and cross-functional technical leadership.

Provide strategic legal guidance to Product, Engineering, and Marketing on autonomy and AI-related issues including privacy, data protection, accessibility, IP, and integrations. Lead cross-functional compliance, safety, and IP projects, manage the patenting program, draft and review customer and inbound contracts and external materials, and build policies, playbooks, and processes. Support M&A and engage with regulators and industry groups as needed.

Lead platform and vertical product for agentic tooling enabling Physical AI. Prioritize platform vs vertical features, partner with engineering, TPMs, and design to deliver products, own lifecycle, present to customers, shape go-to-market, and create positioning and marketing content.

Bay Area-based hunter Enterprise Account Executive responsible for prospecting, developing, and closing new enterprise business for Anyscale. Manage complex sales cycles, achieve quotas, lead CxO engagements, qualify opportunities, collaborate with marketing, and drive ongoing account growth while advising customers on ML, compute, and cloud solutions.

Develop, evaluate, and deploy reinforcement learning methods for autonomous vehicle planning. Design real-time model architectures, build offline data-driven ML infrastructure, analyze fleet and field-testing data, optimize and deploy planning models, and collaborate with perception, software, and AI teams to deliver production autonomous driving systems.

Develop, optimize, and deploy computer vision and machine learning algorithms for autonomous robotics systems. Train custom models, including object detection, segmentation, and 3D vision architectures, for embedded platforms. Collaborate across teams to integrate algorithms into products, research emerging computer vision techniques, and maintain documentation and unit tests. The role requires strong PyTorch, C++, Python, multi-view geometry, deep learning, and robotics expertise.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

Seeking a Research Scientist to develop AI models for enhancing 3D reconstruction processes, requiring strong skills in computer vision and neural reconstructions.

Lead the unified Search and Voice product organization to define multi-year strategy and roadmap for the Roku Entertainment Assistant. Drive prioritization, cross-functional alignment, monetization, AI/ML innovation (LLMs, RAG, conversational AI), experimentation, quality, compliance, and measurable engagement and revenue outcomes while growing and mentoring a high-performing PM team.

The role involves incorporating machine learning techniques into sensor simulation, working with teams to develop effective models for Lidar, Radar, and Camera systems.

Develop efficient ML solutions for perception including sensor fusion, obstacle detection, scene understanding, and robust onboard systems.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

Develop and deploy lightweight machine learning models for edge AI, working on hardware integration and optimization techniques while mentoring junior engineers.