Machine Learning Jobs in Sunnyvale, CA

As a Senior Data Scientist, you'll optimize matchmaking algorithms, define performance metrics, and collaborate on system efficiency improvements, focusing on large-scale user connections.

The Senior Solutions Consultant will engage with customers to advocate Workato's AI capabilities, support presales activities, conduct technical workshops, and drive product adoption.

The role involves setting up machine learning models, creating data repositories, extracting geometric features, and optimizing geometries for quality improvements in print processes.

Join Applied Intuition as an AI Research Scientist or Engineer to advance E2E autonomy and develop software for intelligent vehicles.

The Product Manager will scale data collection products, develop roadmaps, and optimize data workstreams for Waymo's autonomous driving technology.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

The Principal Detection Engineer will develop and implement advanced threat detection systems using AI and ML technologies, optimize detection models, and collaborate across teams to enhance cybersecurity efforts.

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.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

The role involves designing scalable AI/ML infrastructure, optimizing model training processes, and collaborating with teams to enhance platform capabilities.

The role involves leading the design and implementation of multi-stage ML training systems for autonomous vehicles, optimizing training processes and collaborating with various teams.

Lead and manage a team to apply machine learning for map generation, developing strategies to scale mapping solutions worldwide.

The role involves building data strategies, collaborating on model evolution, and designing data storage systems to enhance foundation model training for autonomous driving.

The role involves driving software architecture for planning and control in autonomous vehicles, ensuring safety and performance improvements, and collaborating across teams.

Lead strategy for B2B Integrated Marketing, oversee marketing plans, improve efficiency, and drive engagement for Adobe's digital products.

The role involves improving demand forecast accuracy, implementing ML models, and collaborating with various teams to analyze market trends.

The role involves leading machine learning projects for threat detection, designing security solutions, and contributing to security research publications.

The intern will research advancements in ML systems, model performance for Lightmatter systems, and collaborate on design for reference platforms, aiming for academic publication.

The role leads the development of advanced data science models and strategies, driving business transformation through innovation in AI and machine learning while mentoring junior scientists.

The Research Scientist at Salesforce focuses on large-scale AI research, developing new models, leading projects, and publishing findings in top AI venues.

The role involves driving growth for Moloco Commerce Media by building partnerships, closing deals, and leading market strategies in retail media. The candidate will represent the company at industry events and engage cross-functionally to achieve revenue targets.

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

The role involves leveraging advanced machine learning technologies to create models, collaborating with teams, and translating complex methodologies into business goals.

The role involves architecting AI and signal processing algorithms, collaborating across teams, and supporting customer engagements in wireless communications.