Top Senior Machine Learning Jobs in San Diego, CA

Lead product strategy for AI security integrations, oversee product roadmap, and enhance collaboration with external partners, aiming for customer-centric solutions

The Senior Capture Manager leads capture efforts for key opportunities, develops strategies, coordinates teams, and manages budgets to win complex programs in the defense sector.

Lead implementation of AI solutions across Big Data and observability. Oversee design, management of data platforms, and ensure data governance.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

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.

The Senior Engineering Manager will lead multiple growth engineering teams to build products, improve engineering quality, and drive significant business impact, focusing on user growth through innovative strategies while ensuring high-quality execution under deadlines.

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.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

As a Senior Staff Machine Learning Engineer, you'll build production models, improve machine learning features, and ensure data infrastructure for fraud detection and more. You'll leverage your extensive experience in machine learning and collaborate to drive product intelligence.

Lead AI and machine learning innovation for new vehicle analytics, develop statistical models, and ensure alignment with business strategies. Communicate insights to leadership and collaborate with various teams.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

The Program Manager Consultant will oversee digital therapeutic program execution, manage stakeholder relationships, and ensure project delivery aligns with corporate strategy.

As Product Lead for Borrow, you'll drive the product vision, work with cross-functional teams, and enhance customer experience while maximizing access to credit.

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.

The role involves leading the Risk AI/ML team at Coinbase, managing multiple teams to build scalable ML systems for fraud detection, setting strategic vision, and collaborating with senior leaders across departments.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

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.

Lead Circle's global fraud risk management program, overseeing analytics, compliance with regulations, and investigations into fraud. Collaborate with stakeholders to assess and mitigate fraud risks.

The Principal Product Manager - AI will lead strategy, execution, and launch of AI features, collaborating across teams to enhance product offerings and customer value in the SaaS space.

Lead the Appeal Operations team to manage the Denylist appeal program, leveraging fraud expertise to drive efficiency and collaborate with cross-functional teams.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.