Machine Learning Jobs in San Jose, CA

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

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

Lead the development of AI-driven machine learning solutions to optimize customer experience through personalization and recommendations, while guiding team technical direction.

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

Design and develop large-scale multi-modal models for autonomous driving systems, focusing on vision, language, and control integration. Collaborate with researchers and engineers for model deployment and optimization.

Design and implement large-scale multi-modal architectures for autonomous driving. Research and develop training strategies and model optimizations while collaborating across teams.

The role involves developing AI-driven solutions for cybersecurity, focusing on machine learning pipelines, threat detection, and mitigation strategies against sophisticated cyber threats.

The Senior Staff Machine Learning Scientist will drive AI-driven solutions, develop ML frameworks for recommendations, and lead technical direction for personalized customer experiences.

Design, optimize, and deploy large-scale AI/ML GPU clusters. Collaborate with hardware and software teams to achieve high performance while managing operational constraints.

Lead the development and management of DevOps processes for ML/AI algorithms, ensuring system reliability and deploying infrastructure using cloud and container technologies.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

The Lead ML Software Development Engineer will design, develop, and maintain innovative GenAI applications, ensuring high-quality user experiences. Responsibilities include collaboration with product teams and integrating new technologies.

You will lead the development of machine learning models on Adobe Stock's Content Intelligence team, collaborating to innovate solutions.

Design and develop innovative features for Mirage, managing key software ownership, collaborating with teams to build scalable back-end systems and APIs.

Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

We are seeking a Principal Software Engineer to leverage backend Java skills for our cloud-based Data Loss Prevention service, enhancing cybersecurity through advanced data loss prevention techniques and machine learning integration.

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

Lead and develop a team of ML engineers and data scientists, guiding the creation of ML solutions with advanced techniques in AI, focusing on user-friendly systems.

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.

Develop and implement advanced machine learning models for autonomous driving, focusing on deep learning, perception, and real-time performance optimization.

As an ML Services Engineer, you will design, deploy, and support AI-driven cloud services, optimize ML pipelines, and collaborate across teams for product development.

Lead the development of generative AI services and APIs at Adobe. Architect ML workflows, optimize inference pipelines, and drive cross-functional collaboration.