Top Machine Learning Jobs in San Diego, CA

As an Applied AI Researcher, you will develop algorithms for diverse data modalities, collaborate on innovations, and lead research dissemination in GenAI.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

The Principal of Payer Strategic Consulting drives consulting services and revenue growth by leveraging expertise in healthcare payers, managing client relationships, and leading consulting teams.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

Lead cross-functional Fund Finance projects, manage timelines, communicate with senior leadership, mitigate risks, and mentor junior team members.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

The Senior Computer Vision Engineer will research, design, and develop AI solutions focusing on computer vision and machine learning, improving algorithms, and enhancing team productivity.

As a Principal Product Designer & Product Manager, you will drive product creation, merging strategy and design while integrating AI tools to enhance workflows. You will lead user research, design processes, and cross-functional collaborations to meet business goals and improve user experiences.

Lead the development of cyber forensics and threat intelligence capabilities, build and mentor a team, and create scalable data-driven systems for cyber risk assessments.

Drive business growth by establishing relationships with insurance brokers and executing strategic plans to achieve sales targets for computer vision solutions.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

As a Machine Learning Engineer, you will design systems for safe data ingestion and optimize data usage to enhance models and products, collaborating closely with the Product team and customers.

As a Machine Learning Engineer, you will focus on user-behavioral modeling, collaborate with teams, and engage in data processing and model deployment.

As a Software Engineer at Yobi, you will enhance build systems, deployments, and ML integrations while working within product teams.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Lead AI engineering initiatives to develop and implement innovative AI/ML solutions while enhancing software development processes across Owlet's products.

The Human Data Operations Manager will design annotation workflows for ML, establish data benchmarks, and partner with cross-functional teams to enhance evaluation processes.

Lead the ML Understanding team at Reddit, defining technical strategies, overseeing ML pipeline execution, and managing team development while collaborating cross-functionally for AI solutions.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

As a Technical Recruiter, you will source and recruit top technical talent for AI/ML and Data Science roles while managing candidate experience and the hiring process.

Develop machine learning driven products and tools for Firefox, lead design and integration of AI models, and mentor junior engineers.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

The role involves developing ML models, leading research projects globally, and reviewing AI/ML literature to enhance techniques and methodologies.

Lead the product management team and major product lines, focusing on strategy, execution, and cross-functional collaboration to align company goals.