Machine Learning Jobs in Santa Clara, CA

The role involves designing, implementing, and optimizing CUDA-based kernels for autonomous vehicles, ensuring high-performance ML inference for AV software.

Lead research, design, and deployment of large-scale search and recommendation ML systems. Build multi-modal retrieval and multi-stage ranking pipelines, advance intent understanding and personalization, develop sequential recommenders, design offline/online evaluation (A/B testing, counterfactuals), collaborate with engineering/product teams, and mentor scientists to productionize cutting-edge AI solutions.

Design, architect, integrate, and test high-speed embedded audio/video and digital systems and PCBAs. Lead full lifecycle PCB design, perform EMI/ESD/thermal testing, develop test fixturing, create technical documentation, participate in design reviews and xFMEA, and collaborate with cross-functional teams to ensure reliability and compliance.

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.

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

Lead and grow a TPM function for the Data org, owning delivery of data platform, ingestion, pipelines, enrichment, labeling, and dataset quality. Drive flagship programs, establish scalable governance and KPIs, coordinate cross-functional dependencies, and partner with engineering to improve data quality, throughput, cost, and time-to-insight.

Lead the development and integration of advanced AI-driven software systems for next-generation electric vertical takeoff and landing aircraft, ensuring reliability and safety in collaboration with cross-functional teams.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

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

The Senior Staff Physical AI Data Algorithm Engineer is responsible for designing and optimizing a vehicle-cloud data closed-loop architecture, managing data toolchains, and ensuring high-quality data standards throughout the model development cycle.

Lead the architecture design and R&D in synthetic data and simulation systems for autonomous driving and robotics, ensuring high-quality data generation and closed-loop simulations.

Design, build, and deploy analytics architecture and ETL to process telemetry from hardware and software. Create analysis‑ready datasets, dashboards, alerts, and data products. Apply statistical and ML techniques to improve platform reliability and performance. Lead data‑driven projects with hardware and software teams to inform engineering and leadership decisions.

Lead Finance AI transformation for FP&A and Treasury: identify and pilot high-value AI/automation use cases, build prototypes, define governance and controls, design finance data products and dashboards, drive adoption, and track measurable value realization across planning, forecasting, cash visibility, and controls.

Lead large-scale, cross-functional technical programs from planning through delivery. Define program scope, manage dependencies and risks, drive system design for scalability and availability, align stakeholders, implement prioritization and operational practices, and mentor teams. Use data-driven decision making and GenAI/advanced analytics to improve planning and visibility.

Partner with product, marketing, and biz-dev to drive data-driven growth. Design, run, and analyze A/B tests; use ML and analytics to inform acquisition and partnership strategies; automate processes to improve operational efficiency.

Lead end-to-end performance creative: concept, script, produce, edit, and iterate ads across paid social, CTV, and emerging channels. Translate performance data into creative direction, manage agencies and production partners, and leverage AI tools to speed production while elevating brand quality and measurement-driven results.

Support BizOps & Analytics by driving data-driven decisions across growth initiatives: partner with product, marketing, and BD; design and analyze A/B tests; identify scalable acquisition levers; automate manual processes; and leverage advanced ML models to generate actionable insights that shape product and partnership strategy.

Partner with product, marketing, and BD to drive data-driven growth. Design, run, and analyze A/B tests, define acquisition and partnership levers, automate processes, and extract insights from advanced ML models to scale profitable user and partner growth.

Partner with cross-functional teams to drive data-driven growth: design and analyze A/B tests, leverage ML models for insights, optimize user acquisition and automate operational processes to scale customer growth and partnerships.

Lead cross-functional teams to design, build, and launch fraud and buyer-risk products using ML/AI. Define roadmap, KPIs, run A/B tests, integrate real-time decisioning, and improve conversion while reducing fraud and financial loss.

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.

As an Applied ML Validation Manager, lead a team to build frameworks for evaluating ML behavior against human driving expectations, working closely with various teams to integrate these outputs into validation processes.

Lead an AI platform team to design, build, and deploy agentic, reusable AI services for healthcare payment integrity and clinical workflows. Provide technical and strategic leadership, drive deployment automation, CI/CD, production observability, ethical AI practices, and cross-functional partnership to ensure secure, scalable delivery and measurable business outcomes.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.