Machine Learning Jobs in Sunnyvale, CA

The role involves implementing AI applications, collaborating with hardware architects, optimizing algorithms, and researching emerging AI technologies to improve engineering workflows.

The role involves understanding datacenter applications, developing GPU product proposals, and collaborating cross-functionally for product marketing and sales strategies.

Lead the technical vision for machine learning in search and recommendation systems, ensuring effective implementation and high standards. Collaborate across teams, balance research with practical applications, and simplify complex problems.

The Senior Solutions Consultant will provide thought leadership, align technical solutions with customer needs, and promote Workato's AI capabilities during the pre-sales process.

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.