Top Machine Learning Engineer Jobs in Los Angeles, CA

The Senior Machine Learning & Computer Vision Engineer role involves developing computer vision models, researching AI methods, working with large datasets, and implementing MLOps best practices to enhance Dandy's 3D dental platform.

Lead the development of data-driven products, mentor the team, and collaborate with cross-functional partners to enhance AI capabilities.

Architect and deploy machine learning models to tackle business challenges, manage the modeling process from ideation to maintenance, and collaborate with cross-functional teams on innovative initiatives.

As a Staff Machine Learning Engineer at Coinbase, you'll lead technical strategies, design ML models for risk management, and collaborate on deploying scalable ML systems to enhance security and user experience.

Lead AI/ML initiatives to design, develop, and deploy AI solutions. Analyze requirements, build pipelines, and ensure ethical AI practices while mentoring team members.

This role involves building and managing AI/ML solutions for risk management, collaborating with teams, and providing technical leadership.

As a Senior Software Engineer on the ML Platform team, you will build and optimize software applications for machine learning training, automate processes, and support model deployment.

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

Design and build hybrid retrieval systems, develop pipelines for operational knowledge, and architect knowledge graphs while collaborating with experts.

Curai Health seeks a Machine Learning Engineer to enhance AI systems, focusing on NLP and production ML systems for healthcare applications.

The Senior Machine Learning Engineer will design and implement machine learning architecture, develop models, and collaborate with teams to build data-driven features for a CRM product.

As a Senior Machine Learning Engineer, you will explore advanced ML techniques, collaborate on strategic roadmaps, and develop high-quality AI-powered solutions to enhance cryptocurrency adoption and customer experience.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

Develop and deploy AI models on edge devices, optimize ML models for real-time inference, and collaborate with firmware teams.

The Senior Machine Learning Engineer will build and scale AI platforms while collaborating across disciplines to create effective agents, leading technical direction and making impactful AI applications.

Architect and deploy advanced machine learning models addressing business challenges. Collaborate with cross-functional teams in a high-impact, startup environment.

As a Machine Learning Engineer, you'll build scalable ML systems for personalized recommendations, collaborating with data scientists and cross-functional partners.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

The Senior Machine Learning Engineer will architect advanced agent-driven ML systems, oversee development and deployment, and ensure cross-team collaboration. Responsibilities include automation, system monitoring, and compliance oversight.

The Machine Learning Engineer will enhance search retrieval, train ranking models, build query understanding systems, and ensure robust pipelines for Reddit's AI-driven products.

Lead technical strategy for identity resolution systems and develop ML models for user matching while overseeing end-to-end ML workflows.

Develop innovative geospatial data processing models, create reliable software and machine learning systems, and support software lifecycle management.

Drive the development of AI solutions for payments, ensuring low latency and high reliability, while mentoring teams and collaborating cross-functionally.

Build and optimize machine learning infrastructure for training and serving models, mentor junior engineers, and enhance software quality.

As a Senior MLOps Engineer, you will design and implement ML pipelines, manage cloud infrastructure, and collaborate to improve ML model performance.