Machine Learning Jobs in San Jose, CA

Manage AI-driven products for automotive software, overseeing vision, strategy, and execution while collaborating with cross-functional teams.

The Senior Director will lead teams in developing and evaluating machine learning models, focusing on innovation and collaboration across functions to enhance AI capabilities.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

As a Senior Staff Machine Learning Engineer, you'll develop AI/ML solutions, collaborate cross-functionally, and enhance customer experience through conversational AI and data processing.

As Product Lead, you'll enhance dispute resolution for Cash App, leading cross-functional teams to improve customer trust, compliance, and operational efficiency.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

Lead the BNPL product strategy focusing on inclusion and transparency in credit systems. Collaborate across teams to build a seamless user experience and ensure regulatory compliance.

The Principal Product Marketing Manager will lead the messaging and go-to-market strategy for Uniphore's AI platform, focusing on effective communication with technical and business audiences, competitive analysis, and collaboration with product and sales teams.

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

As a Staff Research Scientist, you'll advance machine learning for autonomous driving, mentoring teams and publishing at top conferences while designing innovative algorithms.

The Staff Product Manager will oversee model training systems for autonomous vehicles, balancing engineering, business needs, and data fidelity while leading cross-functional teams and driving strategies for efficient ML training workflows.

The Principal Machine Learning Engineer will drive the technical roadmap for personalized video recommendations, design and scale ML architectures, and collaborate on strategies enhancing content relevance.

Lead the development and launch of payments platforms for Snap's ad products, focusing on growth and innovation within the Revenue Product team. Collaborate with cross-functional teams and mentor junior PMs to achieve long-term success.

Lead the Privacy Engineering team at Snap Inc., overseeing privacy initiatives, data governance, and regulatory compliance while aligning with business goals.

The Staff Product Manager will lead the development of Liftoff’s Supply-Side Platform by enhancing auction dynamics and integrating machine learning solutions while ensuring cross-functional collaboration and effective stakeholder communication.

The Research Engineer will develop AI models and conduct research on embedding models and rerankers, collaborating with teams for production deployment.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

As Product Lead for Engagement, you will define strategies to increase seller engagement, optimize usage of products, and collaborate across teams to enhance seller experiences.

Lead initiatives to enhance dispute resolution and scam protection for Cash App users, ensuring compliance and improving customer trust.

Develop ML solutions for image processing on AR/VR/MR products, collaborate on system integration, and maintain core ML pipelines.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

The Machine Learning Scientist will build end-to-end AI/ML solutions for risk management, collaborate with teams, and drive model development.

As a Senior Staff Machine Learning Engineer, you will design and implement infrastructure for AI workloads, collaborate with teams to ensure system performance, and contribute to software engineering best practices while mentoring colleagues.

The role involves developing a retargetable compiler for ML hardware, enhancing usability for ML engineers and collaborating on system requirements with AV teams.