Machine Learning Jobs in San Jose, CA

Lead the development of RL training frameworks and data processing pipelines for AV models, ensuring quality and scaling training workflows.

Assist the Machine Learning Team in researching and developing deep learning techniques, collaborate on algorithm-hardware co-design, and support R&D goals.

Develop and deploy lightweight machine learning models for edge AI, working on hardware integration and optimization techniques while mentoring junior engineers.

This internship involves developing and optimizing code for machine learning models, collaborating with researchers, and supporting software design.

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

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

As a Solutions Architect, you'll assist customers with implementing AI and ML solutions, engage directly with clients, and drive technology solutions based on NVIDIA's offerings.

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

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

As a Senior Staff Machine Learning Engineer, you'll develop AI-driven solutions to optimize customer experiences through advanced ML frameworks, focusing on recommendations and personalization.

As a Staff Machine Learning Engineer, you'll build production-scale ML models for personalization and risk management, mentor junior scientists, and collaborate with cross-functional teams to drive impactful product features.

The role involves directing business outcomes, developing engineering strategy, driving product and technical strategy, and establishing organizational goals with cross-functional collaboration.

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

The role involves developing and implementing ML algorithms for surgical robotics, optimizing models for real-time performance, mentoring team members, and collaborating with software teams on robotic task automation.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.

Oversee machine learning projects, build ML pipelines, deploy models, collaborate with teams, mentor engineers, and ensure data quality.

Design, build, and deploy scalable ML systems (NLP, Computer Vision, Generative AI); architect ML infrastructure and pipelines; implement MLOps, CI/CD, monitoring, model optimization, and distributed training; collaborate cross-functionally to productionize models and improve dataset quality.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

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

Lead end-to-end silicon diagnostic pipeline using AI/ML to analyze scan failures and process data, build models for failure classification and predictive yield, orchestrate AI-based EDA tools, and drive cross-functional root-cause analysis to improve yield and time-to-market.

The role involves developing and maintaining machine learning models for robotics, creating training and deployment pipelines, and collaborating on product needs.

Lead the strategy and development of AI-driven autonomous shopping experiences, optimizing machine learning models and overseeing large datasets.

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

Architect and optimize timing and power implementation flows for ASIC/FPGA designs. Lead STA and UPF-based power flows, library generation/characterization, automation infrastructure, and apply ML/AI to improve flow efficiency, debug productivity, and signoff QoR while collaborating across PD, STA, library, and CAD teams.