Machine Learning Jobs in San Jose, CA

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.

The role involves building ML tools, productionizing models, and maintaining existing platforms while collaborating with data science and engineering teams.

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

The role involves leveraging machine learning for optimization problems in climate sustainability and finance, requiring collaboration, model development, and data analysis.

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

Responsible for architecting high-performance machine learning silicon, collaborating with software and design engineers, and driving innovation in AI hardware solutions.

The Sr. Staff ML Engineer leads development of AI/ML systems for GEICO's virtual assistant platform, collaborating with cross-functional teams to ensure scalability and reliability, while mentoring junior staff and improving engineering practices.

The Senior Engineer will innovate and develop AI/ML solutions using Java to enhance customer experiences and exceed expectations.

Lead a team to implement and scale ML infrastructure for ride-hailing services, focusing on optimization, prediction ML models, and simulation.

This role partners with AI and ML organizations to enhance employee experiences and supports business strategies through coaching and organizational health assessment.

As a Senior MLOps Engineer, you will optimize machine learning models for performance and scalability, collaborate with R&D engineers, and implement CI/CD pipelines.

As a Senior Machine Learning Engineer, you'll enhance Moveworks' NLU and AI capabilities, improve user experiences, and develop innovative solutions using machine learning and advanced NLP techniques.

As a Senior Software Engineer, you will build scalable machine learning systems, mentor junior developers, and collaborate with data scientists and product owners.

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

The role involves developing neural model architectures and optimizing ML systems for performance on TPU and GPU, focusing on efficiency and scalability in autonomous driving applications.

Develop and implement online mapping models and algorithms for robotics, focusing on machine learning and data management within uncertain environments.

As a Staff Machine Learning Engineer, you will enhance Coupang's search and discovery algorithms using ML, DL, and NLP to improve product relevance and user interaction.

Drive machine learning innovations for search and discovery, addressing defects and building models to enhance customer experience and business metrics.

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.

As a Machine Learning Engineer, you will apply ML techniques for perception tasks, develop model training methods, and evaluate performance in autonomous driving applications.