Top Machine Learning Jobs in San Diego, CA

The Staff Bioinformatics Scientist leads complex bioinformatics projects, analyzes data, develops algorithms, and mentors junior scientists to innovate in cancer diagnostic product development.

The AI Program Manager designs and manages AI programs, coordinates projects, engages stakeholders, mitigates risks, and leads teams with minimal guidance.

The AI Program Manager designs and implements AI programs, engages stakeholders, and manages project risks in a multi-disciplinary environment.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

Lead computational analysis of deep sequencing datasets (RNA-seq, ribosome profiling, CLIP-seq, SHAPE-seq, etc.), develop pipelines, interpret results in RNA biology and disease contexts, collaborate with experimental teams, present findings, and contribute to publications, patents, and strategy for genetic medicine programs.

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.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

Lead and manage a team of engineers in developing Affirm's Fraud Decisioning System, focusing on innovation and cross-functional collaboration with various stakeholders.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

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

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

The Senior Applied AI/ML Scientist will lead the design and deployment of AI solutions, collaborate on impactful features, and enhance product capabilities by leveraging advanced AI and ML techniques.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As a Principal Machine Learning Scientist, you will conduct research, analyze data, develop models, and lead projects to implement innovative solutions in real estate.

The Innovation Engineer will design and implement AI systems for water management, collaborating with cross-functional teams to improve efficiency and automation.

The Sr. Manager, Sales Enablement will optimize digital sales workflows in diagnostics, focusing on program design, sales strategy, learning development, and technology implementation to increase productivity and efficiency.

Leading the RNA team to develop oligonucleotide therapeutics through high-throughput screening and machine learning. Overseeing data integration and discovery platforms.