Top Machine Learning Jobs in San Diego, CA

As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.

Develop advanced machine learning models for credit risk, mentor junior data scientists, and support data-driven decision-making to enhance business profitability.

The Applied Scientist will leverage machine learning and statistics to enhance trust and safety on the Thumbtack platform, focusing on fraud detection, marketplace dynamics, and customer matching. Responsibilities include deploying ML models, conducting experiments, and collaborating with cross-functional teams.

Seeking a Senior Product & Regulatory Counsel to provide legal guidance on healthcare regulations, data privacy, and product development while collaborating with teams to manage legal risks and improve processes.

Lead CNA's enterprise-wide AI security strategy, ensuring secure AI/ML development and deployment. Guide governance efforts and assess AI-related risks.

The Senior Director of Engineering Operations will lead a team, drive operational excellence, manage engineering tools, and ensure compliance with security policies while overseeing strategic programs and vendor relationships.

Lead Data Analyst will create high-value analytics for customers, establish expertise in analytics platforms, and identify improvement opportunities.

The Group Data Science Strategist will lead product vision and execution related to cybersecurity threats and generative AI, managing assessment requirements and roadmaps while prioritizing strategic outcomes.

Lead a team to assess threat coverage, provide strategic recommendations, and improve cybersecurity defenses against adversaries. Collaborate cross-functionally to enhance protection strategies.

The Sr. Taxonomy Specialist will lead and coordinate taxonomy projects, aligning stakeholders, establishing best practices, and advocating for shared taxonomies across the organization.

The Sr. Data Science Strategist will lead product vision in cybersecurity, drive assessment strategies, and prioritize threat research models, focusing on delivering customer value through effective metrics.

The Staff Machine Learning Engineer develops, maintains and optimizes machine learning models, integrating new technologies, monitoring performance, and collaborating with engineers to enhance decision-making systems.

Lead the QA engineering team, drive testing strategies, implement automation tools, mentor staff, and ensure high-quality products in collaboration with multiple teams.

As a Distinguished Engineer, you will drive technical excellence in Upstart's Pricing team, optimizing loan offer systems using AI and ML, guiding architectural evolution, and mentoring other engineers.

As the Principal Product Manager for AI Assistant, you will create and drive product vision and requirements, collaborating cross-functionally to successfully launch AI solutions that enhance customer experiences.

The Cloud Security Sales Manager will define and execute sales plans, manage sales pipelines, and present solutions while building partnerships.

Lead the strategy and development of AI-driven features for workforce management solutions, collaborating with cross-functional teams to optimize operations.