Top Remote Machine Learning Jobs in Los Angeles, CA

Lead a team of engineers to build one of Dropbox’s newest AI offerings, Dash. Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility. Provide strategic direction and contribute to technical and product strategies.

Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning, implement production-ready pipelines, optimize prediction performance, and more.

Build cloud-based GenAI/ML solutions for enterprise services, oversee strategy for improvements, collaborate with a team of scientists and engineers, and drive data acquisition and evaluation metrics for software quality.

Designs, develops, and programs methods, processes, and systems to analyze and generate insights from big data sources. Works with product and service teams to identify questions and issues for data analysis. Develops software programs and algorithms to evaluate large datasets. Interprets and communicates insights and findings to managers.

Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, machine learning models, personalization services, and data products/services for a healthcare marketplace. Collaborates with data scientists, mentors junior engineers, and addresses technical challenges for product development.

Experienced Machine Learning Engineer responsible for designing, implementing, and managing infrastructure for ML models in a collaborative environment. Must have deep understanding of ML concepts, proficiency in Python, Java, and Scala, and experience with cloud platforms like GCP, AWS, or Azure.