Machine Learning Jobs in San Jose, CA

As a Senior AI Engineer at Capital One, you will develop and optimize AI systems, collaborate with cross-functional teams, and contribute to foundational AI technologies.

Develop and program integrated software algorithms for data applications, using machine learning and statistical modeling for product improvement. Responsibilities include testing, debugging, and applying deep learning technologies for complex environments.

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

Lead the transformation of finance technology, focusing on architecture, strategy, and innovative AI-driven solutions to optimize financial processes.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

The Sr. Product Manager will lead Tinder's recommendation system integration across various product surfaces, manage cross-functional collaboration, and enhance personalization processes and feedback loops.

The Sr. Software Engineer will focus on machine learning techniques for monetization, developing algorithms, optimizing promotions, and improving prediction models while collaborating with diverse teams.

As an Applied Researcher I, you'll leverage AI and machine learning to develop innovative banking solutions, engaging with cross-functional teams to deliver impactful AI products while conducting high-impact applied research.

As a Machine Learning Engineer, you will develop AI/ML systems for robotics and manufacturing, adapt architectures for complex applications, and engage in research contributions.

The Senior Manager, People Technology will lead the design, development, and management of People Technology systems, ensuring integration, efficiency, and compliance while fostering a high-performing team across geographical locations.

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.

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.

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.