Machine Learning Jobs in Santa Clara, CA

Develop and improve the Metaflow platform for machine learning applications, collaborating with researchers and ensuring high software design and reliability.

The Senior ML Engineer will develop AI agents to enhance workflows, implement NLP solutions, and manage end-to-end ML processes. Collaboration with teams and deployment in a modern MLOps environment is key.

Develop computer vision models and algorithms for perception in robotics. Implement pipelines for AI model training and deployment on robotic platforms.

The Senior ML Research Engineer will develop manipulation algorithms, motion planning models, and enhance robot learning stacks for high-DOF robotic tasks.

Develop technologies for optimizing AI models in autonomous driving. Collaborate on parallel algorithms and influence compute platform architecture.

Lead the development and optimization of the machine learning platform, improving infrastructure and collaborating with teams to deploy models.

Architect and design machine learning solutions for autonomous driving, optimizing hardware and software performance across cross-functional teams.

The role involves designing and implementing machine learning models for prediction and motion planning in autonomous vehicles, driving cross-functional collaboration, and leading projects in a high-velocity environment.

The Machine Learning Engineer will design and develop ML models for autonomous vehicles, focusing on prediction and motion planning, while collaborating with various teams to ensure safety and efficiency.

The AI/ML Engineer will architect, design, and develop simulators for SSD controller SOCs, leading the development and mentoring the team while conducting reviews and user training.

Design and implement learning-based algorithms for robotic manipulation and navigation. Build reliable software, collaborate with teams, and conduct experiments.

The role involves optimizing ML training efficiency and input pipelines, collaborating with ML practitioners, and resolving performance bottlenecks.

The Software Engineer will design and optimize distributed systems for ads, focusing on performance, cost reduction, and collaboration with Ads, Data, and Infrastructure teams to enhance efficiency.

The role involves optimizing machine learning approaches for 3D simulation, collaborating with diverse teams, and building scalable ML pipelines.

As a Senior AI Engineer, you will design and implement orchestration systems for LLM-based agents, enhancing user experiences by developing intelligent frameworks and optimizing AI applications.

The role involves advancing on-device AI optimization through model compression techniques, collaborating on deployment strategies, and integrating models into applications.

The AI Engineer will develop components for agent orchestration, integrate LLMs, design experiments, and collaborate across teams for HP's intelligent OS.

The role focuses on enhancing HP's retrieval systems, designing algorithms, improving user interaction models, and deploying efficient RAG workflows.

As a Machine Learning Engineer, you will build AI applications for the food industry using machine learning methodologies. Responsibilities include developing solutions, creating tools for machine learning access, and collaborating with teams to drive innovation.

As a Senior Machine Learning Engineer, you'll own the ML lifecycle, build scalable data pipelines, and collaborate cross-functionally to enhance Cognitiv's deep learning infrastructure.

Design and implement deep learning algorithms for autonomous driving, optimizing neural networks for real-time performance, and integrating multimodal data.

As a Machine Learning Engineer Intern, develop and deploy deep learning solutions, enhance algorithms for real-time bidding, and collaborate across teams. Focus on advanced architectures and algorithms for advertising precision.

Design and implement machine learning models to enhance search relevance and improve the retrieval systems for a better customer experience.

The Director of Product Management will lead a team to develop AI-based security features for enterprise mobility, defining the product strategy and managing stakeholder relationships.

The Senior Product Manager will strategize and lead product development focusing on AI/ML features for Samsung's enterprise mobility solutions, emphasizing security and user experience.