Machine Learning Jobs in Santa Clara, CA

Lead the design and deployment of machine learning models to enhance user experiences, collaborate with teams, and drive innovation in AI-powered tools.

Lead the design and deployment of ML systems to enhance customer experiences, mentor engineers, and drive AI initiatives, collaborating closely across teams.

As an intern, you will research and implement algorithms in computer vision and machine learning, developing new features for Sony's digital imaging technology.

Join the Snowflake team to design, implement, and optimize machine learning systems that impact developer productivity and platform efficiency. Collaborate with diverse teams on ML tools and infrastructure while enhancing software engineering practices.

As a Senior Machine Learning Engineer, you'll design and build production systems for deploying 3D and 4D generative AI models, focusing on usability and scalability.

Lead the design, development, and implementation of advanced machine learning models, collaborating with teams to enhance services and drive insights.

As a Machine Learning Engineer, you'll develop machine learning applications, implement systems, define evaluation metrics, and provide technical leadership throughout the product lifecycle.

As a Senior Staff Engineer, you will lead engineering teams, provide technical solutions, mentor junior members, and drive quality in enterprise applications with focus on voice technologies.

The Staff Engineer leads engineering teams to develop high-quality enterprise-class applications, mentoring junior members and ensuring the usability and performance of solutions.

Develop tools and services for the Anyscale platform, focusing on ML Ops, user interfaces, and critical infrastructure for scalable applications.

The role involves designing and developing algorithms and ML models for machine perception, collaborating with cross-functional teams, and applying research in computer vision to improve systems.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

Design and manage scalable infrastructure for training and serving large language models, ensuring optimal performance and reliability while collaborating with ML researchers.

The role involves researching and implementing synthetic sensor simulation methods, analyzing sensor data realism, and collaborating with teams on autonomy performance.

Lead the design and implementation of Machine Learning infrastructure for Voice AI products by architecting ML pipelines and mentoring engineers.

Design and build language models for AI security products, managing data pipelines, experiments, and model evaluations to ensure reliability and safety.

As a Senior/Principal Machine Learning Engineer, you will build ML systems for voice moderation, mentor engineers, and shape technical direction.

The role involves providing AI solutions expertise, influencing product roadmaps, publishing content, and ensuring successful AI & ML implementations at Snowflake.

Research and develop deep learning algorithms for autonomous driving, focusing on real-time model integration and data analysis to improve vehicle performance.

The Senior Software Engineer, AI/ML will develop scalable data streaming solutions, integrate AI capabilities, collaborate with teams, and mentor junior engineers.

Lead and grow a team focused on training data for Generative AI, manage data pipelines, collaborate with researchers, and ensure ethical AI practices.

Join Adobe's Search and Discovery team as an Applications and Machine Learning Engineer, focusing on building scalable search solutions and algorithms for various Adobe products.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

The Machine Learning Engineer will design, build, and optimize ML deployment pipelines, enhance inference frameworks, and collaborate to improve model performance and efficiency.

Manage the entire recruiting life-cycle focusing on technical roles, build relationships with hiring managers, and ensure an equitable hiring process.