Machine Learning Jobs in Fremont, CA

Lead the product management team and major product lines, focusing on strategy, execution, and cross-functional collaboration to align company goals.

The scientist will lead DEL synthesis and analysis, collaborate with teams to enhance drug discovery through machine learning, and manage cross-functional projects.

The Senior Product Manager will lead the development of The Trade Desk's infrastructure, focusing on scalability, security, and optimizing complex systems to support high-performance workloads. Responsibilities include modernizing core systems and collaborating with cross-functional teams to enhance product capabilities and performance.

The AI Systems and Solutions Senior Director will lead architectural development, focus on security and power control, and mentor teams while collaborating with cross-functional groups.

As a Software Engineer Intern at Anyscale, you will develop software tools for distributed computing, collaborate with experts, and communicate your projects.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

Develop and deploy ML models to combat financial crimes. Collaborate with cross-functional teams, maintain documentation, and lead ML best practices.

Design and deploy ML models to combat financial crimes, collaborate with teams, and enhance ML practices within the organization.

Contribute to developing vision-language models by engaging in data processing, model architecture design, and training methodologies while collaborating with the Vision Team.

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

Lead a team of machine learning engineers to develop ad products, drive strategy and roadmap, and enhance user experiences with applied ML techniques.

Lead the development and commercialization of L4 autonomous driving systems, managing product roadmaps, strategy, and verification processes while collaborating with engineering teams and stakeholders.

Lead and manage complex AI tool integration projects, ensuring strategic alignment and collaboration across teams to drive efficiency and progress.

The Research Scientist will design algorithms and train large models for robotics, collaborating on innovative research and advancing AI capabilities.

The Product Designer will create AI-driven user experiences for government partnerships, ensuring compliance and usability in regulated environments through collaboration and design prototyping.

The ML Infrastructure Engineer will build and optimize scalable ML platforms, improve performance and efficiency of models, mentor junior engineers, and contribute to a mission-driven team focused on renewable energy.

The Search Lead Product Manager will enhance the search experience using AI and semantic technology, focusing on data systems, experimentation, and cross-functional collaboration.

The Research Scientist will design and evaluate world models for robotics, collaborating on breakthroughs in AI and robotics while working with real robots to implement research findings.

The Director of Marketing Sciences will lead cross-functional initiatives utilizing data science and AI techniques to improve business performance in healthcare. Responsibilities include developing data-driven products, fostering collaboration, and driving strategic innovations.

Architect and develop software for FPGA compiler tools, focusing on optimization algorithms for routing and retiming in Quartus software. Collaborate on cross-functional projects using innovative FPGA features.

Lead the development of PayPal's AI/ML platform by overseeing product strategy, building customer-centric features, and managing cross-functional teams to enhance product delivery.

This role involves driving the go-to-market strategy for AI security solutions, engaging with customers to present technical and strategic insights, and building relationships with stakeholders while ensuring effective collaboration with cross-functional teams.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

Lead a team of machine learning engineers to develop and optimize personalized video recommendation systems, ensuring scalability, performance, and reliability.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.