Top Remote Machine Learning Jobs in Los Angeles, CA

The role involves building scalable AI features, optimizing machine-learning pipelines, evaluating LLM outputs, and ensuring compliance with data governance standards.

The Senior Machine Learning Engineer will develop ML platforms, optimize model lifecycles, lead initiatives, and maintain code quality, collaborating with Data Science teams.

The Senior Machine Learning Engineer will develop advanced ML models, create LLM-based solutions, and collaborate cross-functionally within an agile team to enhance customer experience.

Assist in developing and deploying machine learning models and AI solutions by collecting data, optimizing model performance, and collaborating with teams.

The role involves developing advanced machine learning solutions, collaborating with experts, and managing ML model architecture and deployment.

The Senior Applied Scientist will spearhead machine learning and statistical initiatives to enhance search, ranking, and matching algorithms, collaborating with cross-functional teams while providing technical mentorship.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

This role involves designing, developing, and scaling machine learning systems for payment flows and recommendations, leading technical initiatives, and optimizing complex financial decision systems.

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 Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.