Machine Learning Jobs in Fremont, CA

Lead the Product Marketing Management team to drive revenue growth and market awareness, overseeing product strategy, pricing, and cross-functional alignment while mentoring the team and advocating for customer insights.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

Lead the integration and maintenance of autonomous forklifts at customer sites, providing customer support and optimizing system performance with significant travel requirements.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

Develop neural decoders to enhance Brain-Computer Interfaces (BCIs) with machine learning solutions. Collaborate across teams to drive project execution.

Design and build language models for AI security products, managing data pipelines, experiments, and model evaluations to ensure reliability and safety.

As an ML Engineer Intern, you'll optimize AI models, analyze performance tradeoffs, and collaborate on hardware and software design for autonomous driving.

The Machine Learning Scientist will design experiments, analyze data, develop evaluation methods, and collaborate on AI model research and production.

As a Machine Learning Scientist at LMArena, you'll lead open-source research, design experiments, and develop methodologies to evaluate AI models, collaborating across teams and engaging with the research community.

The Senior Software Engineer will lead the design of scalable, high-performance real-time data and API infrastructure, ensuring reliability and guiding engineers in best practices.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

As a Machine Learning Support Engineer, you will address customer product issues, provide proactive guidance, and propose solutions to help clients succeed with Labelbox products.

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.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

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.