Top Senior Machine Learning Jobs in San Diego, CA

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.

The role involves managing technology solutions, mentoring teams, and building client relationships while delivering innovative AI and GenAI technologies.

Lead the development of ML-powered personalization systems, managing a team of engineers and ML practitioners to drive technical roadmap and collaboration for effective borrower experiences.

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

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

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, 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.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Senior Product Manager will define the strategy for auto loan collections and recoveries, develop customer-facing tools, track success metrics, and make data-driven product decisions to optimize business outcomes.

The Senior Product Manager will drive engagement strategies, optimize seller interactions, lead experimentation, and collaborate with cross-functional teams to enhance seller retention and growth.

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 AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

Lead a team in developing and implementing computer vision models for 3D dental applications, focusing on machine learning and deep learning technologies.

Lead product management and technology initiatives for supply chain and manufacturing systems at Dandy, driving strategic vision and execution for growth.

Lead the Data Science & Engineering department, fostering a data-centric culture, overseeing teams, and collaborating on data strategy to enhance organizational insights and product experiences.

Lead and develop a team to investigate and mitigate fraud risks, collaborating with various departments to improve controls and processes. Drive innovation in risk management through analytical skills and machine learning model enhancement.

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 Sr. Product Designer will create user-centered mobile experiences for AI-supported mental health therapy. Responsibilities include designing workflows, collaborating with teams, and utilizing strong design skills in mobile applications.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

This role leads the development of machine learning platforms, overseeing teams to deliver scalable data solutions and recommendation systems for consumer marketplaces, aligning with business goals.

Lead a data science team focused on customer service excellence, utilizing analytics and machine learning to drive optimization and improve user experiences at Coinbase. The role emphasizes partnership across departments to enhance metrics and frameworks.