Machine Learning Jobs in Sunnyvale, CA

Lead the NG-SIEM serverless platform engineering team, responsible for building global systems, ensuring operational excellence, managing teams, and driving innovation in security data management.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

The Head of Analytics Engineering will lead the Analytics Engineering team, develop data platforms, and promote data literacy within Block's Risk organization, partnering with various stakeholders to enhance risk management capabilities.

Lead the design vision for Square's Financial Suite, managing design teams, driving design quality, and enhancing user experience through innovative financial tools.

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

Lead the Product Design for AI initiatives at ServiceNow, overseeing user experience, team management, and collaboration across Product and Engineering to drive innovative solutions.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

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.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

Lead the Behavioral Insights Team to investigate and analyze fraudulent activities, mentor team members, collaborate with cross-functional partners, and drive integration with machine learning for risk management.

Responsible for developing AI/ML solutions, managing teams, understanding product requirements, and creating data processing pipelines to enhance enterprise services.

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 Staff Product Manager will lead the data logging strategy for autonomous vehicles, balancing engineering constraints and business needs while collaborating across teams.

As a Risk Business Partner Team Lead, you will manage a team of risk analysts, foster partnerships, design training, and drive analytics innovation to support risk initiatives.

The Risk Business Partner Team Lead will manage and develop a team of risk analysts, providing strategic advisory and innovation in risk management for a fintech company.

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 Director of Product Marketing will define and drive the go-to-market strategy for Monolith, highlighting its AI capabilities in engineering. Responsibilities include positioning, messaging, account-based marketing, sales enablement, and customer advocacy, targeting R&D leaders in various industries.

Lead a team to analyze patterns to mitigate fraud, driving efficiency through collaboration with analysts and data scientists while mentoring staff and enhancing investigation processes.

Lead the Product Design team to enhance user experience through design thinking, oversee product portfolios, mentor staff, and collaborate closely with Product and Engineering.

Lead dispute resolution efforts for Cash App, collaborating with cross-functional teams to ensure safety, compliance, and customer satisfaction.

As a Senior Research Engineer/Scientist, you will develop innovative Large Language Models (LLMs), working on data curation, training, and evaluation while collaborating with cross-functional teams to deliver high-impact AI solutions.

The Behavioral Insights Lead will manage a team focusing on cryptocurrency risk analysis, detecting fraud patterns, and enhancing data-driven responses to high-risk activities, using machine learning and deep domain expertise in Bitcoin.

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.

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.