Machine Learning Jobs in Santa Clara, CA

Lead the architecture for ML models on custom silicon, influencing AI frameworks and solving performance problems across the software stack.

Lead the design and development of AI-powered systems for cybersecurity applications while mentoring engineers and driving technical strategy.

The Staff Data Scientist will lead the design and development of Game Understanding Agents using machine learning methods, mentoring engineers and setting technical direction.

The Machine Learning Engineer will develop scalable algorithms for video understanding and generation, implement large-scale foundation models, and collaborate with researchers to bring innovations to production.

Lead AI strategy and implementation, design AI systems, oversee model development, ensure ethical AI practices, and provide technical direction to teams.

The role involves designing, developing, and maintaining large-scale distributed systems while optimizing pipeline performance and collaborating with various engineering teams.

As a Backend Infrastructure Engineer, you will design, develop, and maintain scalable distributed systems while collaborating with various engineering teams and optimizing model delivery pipelines.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Design and implement machine learning models and systems for programmatic advertising, maintaining data pipelines and collaborating on product roadmaps.

The role entails developing AI/ML applications, collaborating across teams, optimizing code, and mentoring juniors while focusing on user experience.

Nuro seeks engineers to build scalable ML infrastructure for self-driving technology, involving model serving platforms, monitoring, and lifecycle tracking.

The role involves researching, implementing, and optimizing ML approaches for 3D simulation, collaborating with teams, and building scalable cloud pipelines.

Machine Learning Systems Engineers will develop end-to-end 3D machine learning systems, optimize training pipelines, and improve model performance within a collaborative team.

As an Applied Scientist (ML), you will develop ML solutions, analyze existing systems, and create impactful ML prototypes and evaluation datasets.

The Applied AI Engineer will onboard customers, enhance AI product integration, manage technical challenges, and ensure successful implementation of Mistral's AI solutions.

As a Software Engineer for Machine Learning, you will develop systems for personalized user engagements at Tinder, utilizing ML techniques for optimization.

The role involves designing and maintaining ML and AI platforms, optimizing model training, ensuring reliability and scalability, and adopting new technologies.

The intern will support the data science team by gathering data, performing exploratory analysis, building machine learning models, and developing visualizations to aid business insights.

Design and implement machine learning models to enhance product recommendations, collaborating cross-functionally, while tackling various recommendation challenges and advancing the ML community at Wayfair.

The role involves testing AI/ML Interconnect Solutions by creating test cases, executing test activities, and collaborating with developers. Responsibilities include reviewing specifications, user documentation, and managing multiple tasks efficiently.

Develop advanced machine learning models and algorithms, collaborate with engineers, and enhance ML solutions within Workday's product ecosystem, focusing on user experiences and data analytics.

Lead the development of machine learning models for autonomous vehicle behavior analysis, driving feedback analysis, and enhance evaluation systems with deep learning techniques.

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

The ML Infrastructure Engineer will design distributed systems for ML training, optimize inference, build automation pipelines, and monitor production performance.

As a Senior Staff ML Engineer, you will improve Coupang's search and discovery experience using advanced machine learning techniques, mentor junior engineers, and drive impactful projects.