Top Machine Learning Engineer Jobs in Los Angeles, CA

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

The Software Engineer, ML Infrastructure will design, optimize, and manage systems for machine learning workloads, ensuring efficient AI model training and serving within Snapchat's infrastructure.

This role involves leading the technical vision for personalization, architecting advanced ML solutions, and mentoring engineers while influencing cross-functional strategies at Launch Potato.

The Principal ML Engineer will lead the development of advanced machine learning systems for personalization, shaping the technical and strategic direction while mentoring teams and driving innovation.

The Principal ML Engineer will design ML architecture, solve technical challenges, mentor engineers, and represent the company in the ML community.

The Principal Machine Learning Engineer will establish the technical vision for personalization, solve ML challenges, and lead initiatives that enhance business impact across the organization.

The Principal Machine Learning Engineer will establish technical vision for personalization, address complex ML challenges, and lead strategy across teams, focusing on scalable systems and innovative solutions.

The Principal ML Engineer will define ML architecture, solve complex problems, lead initiatives, and mentor engineers while influencing ML strategy company-wide.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

Design and develop MLOps workflows, deploy machine learning models on AWS, and collaborate with teams to deliver solutions that solve business problems.

The Machine Learning Engineer will develop and deploy ML models for personalized health programs, optimize recommendation systems, and establish best practices for ML lifecycle management.

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

Assist in designing, developing, and deploying machine learning models for creating high-quality 3D assets while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

Interns will design, build, and deploy machine learning models that enhance Netflix's services, collaborating with various teams to translate business needs into ML solutions.

The Machine Learning Engineer will design and implement ML algorithms for wireless communication, analyze RF datasets, and integrate ML with Silvus' products.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

Develop and optimize machine learning models for processing financial documents, mentor junior staff, and collaborate across teams to enhance software products.

The Senior Staff AI/ML Engineer will design, develop, and deploy scalable machine learning models, collaborating with teams to address business challenges and ensure high performance in production environments.