Top Machine Learning Jobs in San Diego, CA

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

Senior backend engineer responsible for building and scaling resilient, low-latency cloud systems for Coinbase Growth. Launch, iterate, and run experiments across web, mobile, backend, data and ML to drive user growth; collaborate with cross-functional teams and write well-tested production code.

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.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

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 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.

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

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

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

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.

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 centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

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 and build SquareCredit Cards product from vision to outcomes. Define strategy, AI-native features, embedded workflows, rewards and economics, manage portfolio metrics, recruit and lead product team, and partner across engineering, risk, compliance, finance, and GTM to deliver scalable credit products for small businesses.

Lead end-to-end product for GTM automation, building AI/ML systems that automate Sales and Marketing workflows. Define strategy, metrics, experiments, model goals, safety, and launch cross-functionally with engineering, ML, data, design, legal, and operations.

Own strategy and roadmap for AI-powered GTM automation across Sales and Marketing. Identify automation opportunities, define product requirements, partner with ML, data, design, and engineering, run experiments, set metrics for accuracy/safety/latency, and lead cross-functional execution from concept to launch.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

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.

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.

Lead and develop a team of backend engineers, ensure high standards for core pricing systems, and guide technical strategy while collaborating across teams.

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

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.