Top Machine Learning Jobs in San Diego, CA

The role involves developing ML algorithms for autonomous driving, including training models, evaluating performance, and improving behavioral models.

The Principal Machine Learning Engineer leads the design and implementation of advanced ML systems to enhance cybersecurity capabilities, collaborating with Data Scientists and Engineers.

As an MLOps/ML Platform Engineer, you will build and manage ML systems, optimize workloads, and ensure production model reliability while collaborating across teams.

As a Machine Learning Engineer at Zillow, you will develop and implement machine learning models, prototypes, and algorithms, collaborating closely with scientists and engineers. You will focus on deploying applications, improving reliability, and fostering innovation in AI solutions.

Design and implement deep learning models for 3D computer vision, develop ML pipelines, deploy and monitor models on cloud platforms, and document findings.

Lead the development of credit risk models, collaborating with consultants and technology teams, and implement LLM-based agents for dynamic decision-making.

Join a team focusing on end-to-end ML Ops for the insurance sector. Develop and deploy ML solutions, build infrastructure, and solve business challenges using advanced technologies.

The Senior ML Engineer designs and develops advanced machine learning models, collaborates with teams, monitors model performance, and implements MLOps practices for scalability.

The role involves building and maintaining an MLOps platform, optimizing machine learning models for security data, and collaborating with teams to enhance data processing systems.

Develop and implement ML algorithms for bioinformatics, debug models, collaborate with teams, and maintain high-quality Python code.

Lead technical strategy and architecture for AI projects, manage client engagements, mentor engineers, and drive innovation in machine learning solutions.

Responsible for deploying and improving MLE solutions, building production data pipelines, and writing scalable machine learning systems while collaborating with teams to drive strategy and communicate results.

The Staff Machine Learning Engineer will design, develop, and deploy scalable ML algorithms, lead experimentation, and collaborate across teams to enhance AI solutions.

The Senior Machine Learning Engineer will build and operate ML systems, manage the model lifecycle, and mentor team members while ensuring sustainability data accuracy.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.

The role involves designing and implementing data and AI architectures, developing data pipelines, and integrating machine learning solutions while fostering Agile methodologies and collaboration.

The Senior Product Manager will lead the strategy for an AI assistant, ensuring compliance and user satisfaction while coordinating with cross-functional teams throughout product development.

The Machine Learning Engineer will work on sensing and perception algorithms, deploying computer vision algorithms, and collaborating for code testing and evaluation.

Lead research on humanistic AI for autonomous systems. Collaborate with teams, design experiments, and publish findings in top-tier publications.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, optimize model performance, and collaborate with cross-functional teams to integrate AI capabilities into products.

Lead the design and implementation of enterprise-scale AI/ML solutions on Azure and AWS, ensuring security, scalability, and performance. Collaborate with teams to optimize workloads and integrate solutions with data platforms.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

Develop and maintain machine learning solutions, collaborating on frameworks, adopting best practices, and mentoring new hires while ensuring operational excellence in production systems.

The Senior Product Manager will lead the AI-driven product roadmap at Chess.com, focusing on innovative chess tools and deepening user engagement through AI features.

The Sr. Engineering Manager will oversee Reddit's Ads Marketplace Quality, focusing on optimizing auctions and delivery systems while managing team growth and development.