Machine Learning Jobs in Santa Clara, CA

As a Staff Machine Learning Engineer, you'll guide AI initiatives at GM, evaluate AI solutions for manufacturing, and translate research into scalable systems.

As a Technical Lead in Machine Learning, you will design and deploy ML models for autonomous driving, mentor engineers, and drive innovation across teams.

As a Software Engineer specializing in Machine Learning, you will design and develop AI/ML product features, collaborating with various teams to create scalable solutions for customers.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

Develop and deploy ML models to combat financial crimes. Collaborate with cross-functional teams, maintain documentation, and lead ML best practices.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

Lead strategic AI/ML design initiatives, driving product experiences that enhance productivity and inspire users. Collaborate across disciplines to shape design strategy and influence industry standards.

Lead a team of machine learning engineers to develop and optimize personalized video recommendation systems, ensuring scalability, performance, and reliability.

The Senior Machine Learning Engineer will design and build scalable AI/ML infrastructure, collaborate on model development, and optimize performance in distributed training environments.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.

The Principal Machine Learning Engineer will build AI/ML solutions, collaborate with engineers, ensure product security and compliance with AI regulations, and drive architectural decisions for enterprise services.

The role involves building AI and ML solutions, including development and deployment of Generative AI, LLM fine-tuning, data curation, and prompt engineering. It suits candidates eager to apply foundational knowledge and learn about Large Language Models under the guidance of senior engineers.

The Data Scientist will manage risk KPIs, develop machine learning solutions to identify fraud and credit risks, and work cross-functionally to influence product roadmaps and risk strategies.

The Technical Program Manager will lead engineering operations, manage performance investigations, develop roadmaps, and mentor junior team members to ensure operational excellence in a fast-paced environment.

The Senior Machine Learning Modeler will develop machine learning solutions to assess financial crimes risk, collaborate with teams, and drive innovation in financial crime detection.

Drive risk management by building end-to-end AI/ML solutions, collaborating with cross-functional teams, and optimizing operations at Square.

The Principal Machine Learning Engineer will design and scale ML components, optimize inference frameworks, and provide technical direction across teams.

Research and apply advanced machine learning techniques to solve autonomy system problems, providing leadership and deploying solutions in real-world environments.

Lead the design and development of large-scale perception systems for an autonomous driving platform, focusing on optimizing resource sharing and performance.

As a Machine Learning Engineer, you'll architect, build, and deploy ML systems and services, design data pipelines, and collaborate with researchers on product initiatives.

As a Product Manager for AI Agents, you'll define and optimize intelligent healthcare agents, collaborating with technical and clinical teams to enhance performance and safety.

You will lead product strategy, conduct market research, support sales, manage the product roadmap, and cultivate customer relationships for a healthcare software solution.