Machine Learning Jobs in Fremont, CA

The EDA/IP Sales Manager will drive sales efforts for proteanTecs' IP technology and build customer relationships while coordinating with internal teams.

The Sales Engineer role involves assisting the sales team by providing technical expertise, building solutions, and addressing customer challenges with Nanonets' AI/ML product.

As a Machine Learning Intern, you will lead projects, analyze data, build models, and solve complex problems using machine learning and AI techniques.

Research scientist specializing in robotics and AI, focusing on developing algorithms, conducting research, and implementing learning-based manipulation and control methods.

Lead a team optimizing backend systems for Netflix's Member Experience Pages. Focus on performance, scalability, architecture, and team growth while collaborating with various stakeholders.

Lead the development of advanced data science models, collaborating with stakeholders, ensuring data quality, and mentoring junior scientists.

Develop efficient ML solutions for perception including sensor fusion, obstacle detection, scene understanding, and robust onboard systems.

The role focuses on researching and developing AI-based methodologies and simulation tools for autonomous vehicle algorithms, ensuring effective evaluation and scenario generation.

The Senior Engineer will work on Java and AI/ML projects, driving innovative solutions to enhance customer experiences and operational efficiency.

Lead product strategies for Moloco Ads, focusing on mobile app publishers. Identify growth opportunities, manage a large engineering team, and drive product development with an analytical approach.

Design and develop web applications, ensure code quality, implement non-functional requirements, mentor team members, and collaborate across teams.

The Software Engineer 3 will design, develop, test, and maintain software components, focusing on scalable distributed systems and high-throughput back-end solutions while collaborating across teams to innovate and solve problems.

Analyze complex data sets to derive insights, support product testing, and collaborate with teams to solve business challenges using statistical tools.

Develop AI prompts for customer engagement, manage conversations, and collaborate with engineers. Requires 3+ years in NLP/AI/ML development.

As an AI/ML Intern, you will design machine learning algorithms, develop deep neural networks, and work with various sensor technologies, enhancing autonomous robots performance.

The Director of Business Operations & Strategy will lead the scaling of Jerry's insurance business and drive automation and strategy to achieve critical outcomes while collaborating with various teams.

As a Business Operations Associate, you'll drive data-driven strategies, conduct analyses, optimize processes, and lead experiments to support growth initiatives.

As a Senior Associate in Business Operations, you'll drive data-driven decisions for growth and operational efficiency, collaborating with multiple teams.

The Head of Marketplace Automation & Growth will lead the strategy and execution of Jerry.ai's insurance marketplace, managing systems and performance metrics while collaborating cross-functionally to enhance user experience and ensure carrier success.

As a Business Operations Associate, you will drive data-driven decisions in business strategies, lead A/B tests, and enhance operational efficiencies across teams.

As a Data Scientist, you will champion data-driven decisions, design A/B experiments, automate processes, and extract insights to guide business strategies.

As a Data Scientist, you will leverage machine learning to analyze data, automate processes, and provide insights for business growth strategies.

The Research Engineer will design evaluations for CBRN risks, develop infrastructure for testing AI models, communicate results, and collaborate with experts in AI and CBRN.

The Solutions Architect will support customers in deploying GPU-accelerated ML solutions on cloud platforms and provide technical mentorship, enhancing AI inference pipelines, and collaborating with engineering teams to optimize deployments.

The Machine Learning Engineer will enhance a machine learning platform, developing and deploying machine learning solutions at scale while collaborating with cross-functional teams.