Machine Learning Jobs in San Jose, CA

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

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

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.

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.

As a Deep Learning Intern, you'll develop technologies for detecting emergency vehicles using deep learning techniques and collaborate to integrate these solutions into the production stack.

As a Perception Intern at PlusAI, you'll develop and benchmark deep learning techniques for object detection and collaborate with experts to optimize perception systems for autonomous vehicles.

The role involves designing and implementing advanced analytics solutions for healthcare payers, analyzing complex problems, mentoring juniors, and building client relationships.

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.

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.

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.

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.

As a Senior Machine Learning Engineer, you will own the ML stack, develop generation systems, improve quality, collaborate cross-functionally, and build data pipelines.

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.