Machine Learning Jobs in Santa Clara, CA

Write and edit accessible journalism about AI for a general audience. Responsibilities include pitching ideas, drafting articles, editing researchers’ and writers’ work, setting editorial standards, and helping launch a consistent media program. The founding editor will shape editorial direction and clarify technical material without oversimplifying it.

Research and develop computer vision, sensor fusion, pose estimation, and machine learning solutions for imaging and embedded applications. Build prototypes and end-to-end pipelines in Python and C++, optimize models for real-time edge deployment, and implement MLOps practices for monitoring, versioning, and CI/CD. Evaluate novel algorithms against current research, develop preprocessing and augmentation workflows, and transition validated concepts toward production.

Develop AI/ML solutions for semiconductor design and verification workflows. Build scalable pipelines that extract and analyze EDA logs, reports, run artifacts, and design metadata. Create models, heuristics, and analytics for STA, DRC/LVS, ECO optimization, debug, and regression acceleration. Integrate solutions into CAD infrastructure, automation systems, schedulers, and design databases while collaborating with EDA vendors.

Develop core decision-making and motion-planning systems for Level 4 autonomous vehicles. Responsibilities include behavioral planning, lane changes, merges, path and velocity generation, world modeling, trajectory cost design, optimization, testing, debugging, and root-cause analysis. Collaborate with Prediction, Perception, and Control teams to enable safe, comfortable vehicle motion.

Drive adoption of NVIDIA Omniverse and physical AI technologies across software partners. Advise engineering teams on architecture, coding, integrations, and reference solutions; create technical enablement materials; lead workshops and technical engagements; resolve implementation blockers; communicate partner feedback internally; and support product launches and technical go-to-market activities. The role requires extensive software development experience, industrial or robotics technology expertise, and the ability to influence engineers, executives, and product teams.

The Principal AI/ML Engineer will lead the AV ML Infra team, overseeing scalable ML infrastructure, project ownership, collaboration, and team mentorship in AI and ML innovation at GM.

Defines the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, integrating classical safety systems with learning-based autonomy. Leads engineering teams across prediction, planning, control, decision-making, and safety; oversees productionization of end-to-end driving pipelines and foundation models; and partners with research teams to bring robotics, embodied AI, and generative AI advances into scalable autonomous vehicle systems.

Advise Product, Engineering, Design, Marketing, and business teams on privacy, data protection, accessibility, consumer protection, copyright, contracts, IP, and emerging AI and autonomy technologies. Lead compliance, safety, patenting, invention harvesting, product integration reviews, and legal process development. Translate legal guidance into actionable product workflows, manage complex cross-functional projects, monitor regulatory developments, review external-facing documents, and support M&A transactions.

Designs and deploys large-scale NVIDIA AI and HPC GPU infrastructure for cloud partners and strategic customers. Leads technical engagements across the customer lifecycle, supports infrastructure development and production, builds networking and compute proofs of concept, troubleshoots performance and scaling issues, and delivers technical presentations and workshops. Partners with sales and business teams to identify opportunities and provides customer feedback to influence product strategy.

The 12-week MedTech R&D Leadership Development Program internship gives graduate engineering students hands-on project experience, classroom and professional development training, and exposure to R&D platforms. Interns build technical, business, leadership, and cross-functional skills while working on innovative healthcare products and technologies. The program may identify high-performing interns for a full-time leadership program after graduation.

Leads enterprise-wide FP&A, including long-range planning, annual operating plans, forecasts, performance management, executive reporting, scenario analysis, and strategic decision support. Advises the CFO, CEO, executive team, and Board while overseeing finance transformation, planning systems, analytics, AI adoption, governance, and global FP&A talent development. Partners across finance and business functions on resource allocation, cost efficiency, capital deployment, cash flow, and operating performance.

Lead F5’s global product design organization and define the UX/UI vision across platform products. Develop scalable design strategies, unified design systems, and AI-enabled user experiences. Partner with product, engineering, AI, marketing, and analytics teams to improve accessibility, personalization, usability, adoption, retention, and customer satisfaction. Mentor and scale cross-functional design teams while balancing executive-level strategy with hands-on guidance and timely execution.

Develop and maintain software for real-time 3D visualization, science simulations, virtual human anatomy, medical simulations, and AI applications. Responsibilities include implementing software solutions from design specifications, studying algorithms and user experiences, troubleshooting and debugging existing applications, and collaborating with cross-functional teams. The role is intended for a junior developer with C++, 3D graphics, machine learning, and LLM experience.

Develop and operate machine learning systems for automated manufacturing. Responsibilities include building scalable data and model infrastructure, automating ML pipelines, deploying models to production and edge devices, monitoring performance, optimizing latency, integrating AI/ML tools, managing incidents, ensuring security and privacy, and collaborating with automation engineers, data scientists, data engineers, and software teams.

Lead development of data pipelines, ETL, and analytics for pre- and post-silicon DFT data; apply statistical methods and applied AI/GenAI to solve EDA/DFT problems; design scalable distributed databases; collaborate across teams and mentor junior engineers.

Own end-to-end backend IC design automation flow bring-up for new semiconductor process nodes, including PDK, standard-cell library, Foundation IP, EDA tool, script, and infrastructure integration. Develop regression tests, qualify and deploy production flows, support design teams through tape-out, and provide debugging, training, documentation, and methodology improvements. Collaborate across global engineering teams and apply AI/ML to regression analysis, flow optimization, and knowledge capture.

Supports FP&A and enterprise analytics by developing scalable Power BI reporting, financial models, dashboards, and automated processes. Analyzes financial and operational datasets to identify trends, risks, and opportunities; improves forecasting, budgeting, and recurring reporting workflows using Excel, Python, SQL, Power Automate, and Microsoft platforms. Collaborates with finance, data engineering, IT, and business stakeholders, trains users, maintains governance standards, and contributes to the Pigment planning platform. Evaluates AI-enabled tools to improve reporting efficiency, data quality, and decision-making.

Lead global business development for Advantest Cloud Solutions, driving strategy, customer engagement, solution selling, proposals, pricing, negotiations, revenue, profitability, and account growth. Partner with sales, marketing, solution integration, pre-sales, and customer support teams to customize value propositions, address customer needs, manage budgets, and support real-time data infrastructure and analytics solutions for semiconductor customers.

Develop and evaluate ML and perception models for future sensing and autonomous driving. Work on detection, tracking, classification, sensor fusion, training pipelines, validation, robustness metrics, and integrate models into onboard systems while collaborating with cross-functional teams.

Lead technical vision and architecture for ML-driven trajectory generation in autonomous vehicles. Build and deploy scalable training pipelines, integrate models into real-time safety-critical onboard systems, mentor senior engineers, drive cross-functional initiatives, and move solutions from research to production using simulation and large-scale datasets.

Lead end-to-end ML and perception efforts for future sensing in autonomous vehicles: design sensor architectures, multi-modal fusion, model development, metrics, simulation-driven evaluation, system integration, and production readiness while mentoring engineers and building scalable data and training infrastructure.

Lead research and development of emerging ML (embeddings, foundation models, transformers). Build and productionize machine learning models at scale, partner with product and engineering, analyze large-scale transactional and clickstream data, and run experiments to improve customer experiences across marketing, servicing, and fraud domains.

Develop scalable ML infrastructure for autonomous vehicle use cases within Uber AV Labs. Responsibilities include designing multi-region, multi-cloud platforms; customizing Uber’s ML platform; aligning infrastructure and AV teams; executing technical projects from conception through production; and optimizing GPU efficiency. The role requires expertise in CUDA, TensorRT, Kubernetes, Flyte or Airflow, and Ray, along with at least six years of experience and a computer science degree.

Lead editorial vision and content strategy for a technical AI research lab. Develop the editorial voice, calendar, content engine, long-form and short-form content, multimedia storytelling, and owned channels. Translate complex research into credible, accessible communications for technical and general audiences. Partner with engineers, researchers, communications, and product teams on launches and flagship reports; manage a social media manager, build a freelance writing team, and track content performance metrics.

Lead the architecture, implementation, integration, and optimization of enterprise business systems across finance, supply chain, billing, and customer platforms. Develop system roadmaps, standardize tooling, automate workflows using middleware and AI, ensure SOX and ITGC compliance, troubleshoot complex issues, build reporting dashboards, and mentor team members. The role requires close collaboration with stakeholders and senior leadership to deliver scalable enterprise solutions.