Machine Learning Jobs in San Jose, CA

As a Sr. Staff Machine Learning Engineer, you will drive the development of cloud security features, leveraging AI/ML to solve real-world challenges and optimize production systems.

The role involves leading data science initiatives, building machine learning models, conducting experiments, and collaborating with teams to enhance customer experiences and business outcomes.

Lead ML engineer responsible for designing, building, deploying, and monitoring production ML systems at scale. Collaborate with product and data science teams, develop ML architectures and data pipelines, apply CI/CD and cloud-based MLOps, retrain and govern models, and ensure performance, reliability, and responsible/explainable AI practices.

Lead design, build, and productionize scalable ML models and pipelines. Collaborate with product and data science teams, implement cloud-based architectures, ensure CI/CD, monitoring, model governance, and responsible AI practices.

Customer-facing Application Engineer deploying Cadence verification platforms and methodologies. Develop subsystem/SoC verification requirements, create UVM/C tests, support pre/post-silicon (simulation, emulation, FPGA, bring-up), run benchmarks, and deliver technical presentations and demos to ensure customer success.

Maintain and improve analytics solutions and financial/marketing models (primarily in Excel); perform ETL/data wrangling; analyze market and business data; communicate concise insights to stakeholders; drive data-informed strategic decisions and build production-ready data products or pipelines.

Lead the productization of AlpaSim and AlpaDreams technologies. Oversee architecture integration, manage team performance, and transform prototypes into reliable tools, focusing on developer experience and production excellence.

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.

Lead product manager responsible for optimizing payment authorization rates by partnering with cross-functional teams, enterprise customers, and external partners. Drive strategy and roadmap for tokenization, retry logic, routing, and 3DS2; define KPIs and reporting; manage analytics, customer discovery, and profitability; and evangelize authorization optimization across the organization.

Design, build, and productionize large-scale foundation models and ML systems (transformer architectures, self-supervised learning). Architect and implement training, data pipelines, deployment, monitoring, and CI/CD. Collaborate with cross-functional teams, ensure model governance, reliability, and performance, and apply ML engineering best practices at scale.

Define and execute a multi-year manufacturing automation strategy, lead a multidisciplinary automation team, deliver end-to-end AI-enabled automation projects (design through commissioning), integrate ML, computer vision, SCADA and IoT systems, manage budget and KPIs, and mentor senior technical talent to improve safety, quality, throughput, and cost across manufacturing.

Develop and maintain CI/CD pipelines and lab environments using containerization, virtualization, and cloud platforms. Automate tasks with scripting and IaC, monitor and troubleshoot systems for stability and scalability, ensure security and compliance, and collaborate with developers, QA, and IT to streamline build, test, and deployment processes.

As an intern, you will research and develop AI/ML algorithms for computer graphics and robotics in 3D animation, collaborating with a multidisciplinary team.

The intern will conduct applied research in 3D data compression, machine learning, and computer vision, while documenting and submitting findings for intellectual property.

Lead product marketing and management for HMI's eBeam computing platform, develop market strategies, manage product roadmaps, and enhance customer engagement in the semiconductor market.

The Director of AI will lead AI and data engineering teams, define and execute AI strategy, and ensure effective partnership across functions, focusing on scalable AI solutions and responsible AI practices.

Design, modify, and troubleshoot complex RF/electrical assemblies and schematics. Perform engineering analysis and tests, generate reports and specifications, lead small projects, coordinate suppliers, and implement electrical solutions while mentoring junior colleagues.

Lead the delivery of advanced AI initiatives, manage enterprise engagements, translate business needs into technical requirements, and drive customer adoption.

Responsible for forecasting, planning, and financial analysis, building analytical tools, and providing insights while supporting senior management across the GeForce FP&A team.

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

As a Machine Learning Engineer Intern, you'll modify models for ego-vehicle predictions, optimize loss functions, and evaluate trajectory diversity and accuracy.

Lead technical vision and strategy for next-generation graphics developer tools. Design and prototype tooling, drive cross-team initiatives, mentor engineers, engage external developers and partners, and deliver production-ready solutions that improve graphics development, debugging, profiling, and optimization workflows.

Lead end-to-end supply planning strategy and governance for networking products (optics, switches, adapters). Build scalable planning frameworks across chips, memory, capacity, and manufacturing; ensure data integrity (BOMs, yields, cycle times); accelerate time-to-market via complexity reduction and AI-enabled planning; and manage and develop global supply planning teams.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.