Machine Learning Jobs in San Jose, CA

The Customer Support Engineer assists customers in adopting the Anyscale platform, troubleshooting issues, and collaborating with engineering teams to enhance product experience.

The role involves designing and optimizing large language models, building ML pipelines, and working collaboratively with cross-functional teams.

Lead product strategy and execution for API service. Define the product roadmap, prioritize features, and drive decisions impacting customers and growth.

The Technical Lead Manager will oversee the ML Training Infrastructure team, focusing on enhancing model training efficiency through state-of-the-art quantization techniques and mentoring a high-performing team.

As a Neuroengineer Intern, you will design computational models, integrate machine vision with VR, and interpret neural recording results.

Lead engineering team to build ML infrastructure for Pinterest ads, collaborate across teams, mentor engineers, ensure technical excellence.

Lead the integration of AI in Adobe's product development, manage programs, promote execution excellence, and enhance organizational processes.

The Product Design Lead will drive product vision, manage design teams, and enhance user experiences for Moloco Ads, using machine learning to democratize mobile ad tech.

The role involves developing advanced ML models for scene understanding and managing the end-to-end ML pipeline from data gathering to deployment.

Develop and implement computer vision algorithms, create data collection methods for deep learning, and enhance existing algorithms within a dynamic team setting.

The role involves developing ML models for search and recommendation systems, managing AI technologies, and enhancing user experiences across Adobe products, requiring a strong background in AI, ML, and extensive industry experience.

The Senior ML Engineer will develop and implement ML models, collaborate with teams, and enhance AI workflows while guiding junior members.

Research, design, and deploy advanced ML models for video understanding and multimodal AI, focusing on enhancing video AI systems for enterprise use.

The Machine Learning Engineer will develop predictive models using statistical and machine learning techniques on large datasets, collaborating with teams to solve business problems.

This role focuses on leading machine learning initiatives, developing models, analyzing data, and mentoring junior engineers to enhance risk solutions at PayPal.

The role involves implementing and optimizing ML models across various domains, collaborating with engineers, and leading software development practices.

The Software Engineer will optimize ML performance, conduct data analysis, implement ML models, collaborate with researchers, and enhance NVIDIA's AI Services.

The Technical Recruiter manages full-cycle recruitment for engineering, product, and design roles, sourcing candidates and negotiating offers while working collaboratively with hiring managers and agencies.

Lead a team of ML engineers in designing, building, and maintaining a robust ML platform, focusing on scalability, reliability, and innovation.

Join Sajix as a Machine Learning Engineer Trainee to assist in building and deploying ML models for healthcare solutions, collaborating with data scientists, and gaining hands-on experience.

As a Machine Learning Engineer Intern at Moloco, you will work on state-of-the-art ML systems, participating as a full team member to conduct experiments, enhance data pipelines, and develop tools for model quality measurement.

The Senior Software Engineer will enhance ML infrastructure focusing on Large Language Models, managing deployments and mentoring junior staff.

Lead the design and implementation of AI-driven recommendation and retrieval algorithms, while mentoring engineers and enhancing user interactions with intelligent systems.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.