Machine Learning Jobs in Santa Clara, CA

The role involves building and leading teams to optimize ads auction systems, partnering with various teams to define strategies, and conducting experiments for optimization.

As a Research Scientist and Engineer at Collinear, you will create AI simulation environments, develop evaluation systems, and enhance real-world model performance through rigorous data-driven approaches.

Lead Collinear's research direction across evaluation, simulation, and post-training ML methods while managing a high-caliber research team. Influence customer outcomes through applied research.

Interns will work on machine learning solutions for autonomous driving, contributing to real-world projects in perception, prediction, and planning.

The Software Intern at Cadence will work on research and development using machine learning technologies for on-chip parasitic modeling in a team environment.

Design and develop Multi-Physics System Analysis software, debug errors, implement features, and write tests.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

The Technical Lead Manager will own the perception model for autonomous systems, leading a team to architect, train, evaluate, and deploy this model across diverse environments while reducing dependencies on traditional mapping technology.

The Senior ML Inference Engineer will design and operate a deployment platform for ML models onto autonomous vehicle hardware, collaborating with teams to enhance tools and address deployment issues.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

Conduct research in machine learning and AI, focusing on robotics and AGI, while collaborating with teams and reporting findings.

The Staff Algorithm Developer will lead firmware and embedded software development for diagnostic systems, focusing on signal and image processing while collaborating on new product projects.

Develop and optimize embedded applications for signal and image processing, using C and Python, and apply AI/machine learning to enhance algorithms.

The Staff Algorithm Development Engineer develops optimized embedded software for signal processing and image processing, utilizing C and Python, and collaborates on new product initiatives in a regulated medical device environment.

Lead cross-functional finance AI and data projects: translate finance processes into technical solutions, manage stakeholders and requirements, track multiple projects to delivery, understand AI/ML and data architectures, and drive decisions while ensuring projects meet business and technical objectives.

Perform FP&A analyses for payment products: identify business levers, build financial models, apply SQL/Python/R and ML techniques, visualize results with Think-cell and SAP S4Hana, create business cases, and present insights to stakeholders including C-suite while partnering with Product, Analytics, and Finance.

Lead roadmap and execution for ad-serving, bidding, targeting, auction mechanics, and core marketplace infrastructure. Apply AI/ML and generative models to improve ROAS, budget utilization, and advertiser outcomes, partnering with engineering, analytics, commercial, finance, and legal. Drive experimentation, A/B testing, and data-driven product decisions.

Lead business development for assigned product lines across the Americas, driving new and renewal revenue. Develop pipeline, articulate value propositions, run demos/PoCs, collaborate with sales, engineering, product and marketing, and build long-term customer relationships. Support forecasting, proposals, events, and capture customer feedback for product evolution.

Lead pre-sales efforts for Media & Entertainment customers: present Snowflake to executives and technical audiences, deliver demos and POCs, design solutions, collaborate with product and engineering, and close large deals while maintaining deep industry and competitive knowledge.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Data Engineer will gather and process data, analyze trends, support business decisions, and collaborate on predictive models while improving algorithms and efficiency.

As a Software Solutions Architect at NVIDIA, you'll deploy AI solutions, collaborate with technical teams, integrate software, diagnose customer issues, and develop new tools for data science.

Develop and evaluate data science modeling algorithms using sensor data, collaborate with SW engineering on data pipelines, and fine-tune algorithm performance while documenting processes.