Top Machine Learning Engineer Jobs in Los Angeles, CA

The Cloud Machine Learning Engineer will build ML solutions on cloud platforms, integrate Hugging Face libraries, ensure performance, and develop robust APIs.

As a Staff Machine Learning Engineer, you will lead ML solutions focusing on risk mitigation in Cash products, collaborating with multiple teams.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Lead the design and integration of Generative AI in Firefox. Build training infrastructure for language models and optimize performance.

Design and develop machine learning models, oversee project execution, mentor teams, and maintain client relationships while driving innovative solutions and improvements.

The Staff Machine Learning Engineer leads the development of AI and machine learning systems, mentors teams, and ensures scalable, production-grade solutions while enhancing user engagement.

The Senior/Staff Machine Learning Engineer will design scalable data pipelines, implement ML algorithms, and work on microservice architectures for ad optimization.

As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and collaborate with data scientists and engineers at StackAdapt.

As an Intern Data Scientist/Machine Learning Engineer, you will develop machine learning models, analyze data, and collaborate with experienced professionals in a fast-paced environment.

Develop LLM solutions, optimize ML pipelines, mentor teams, present at conferences, and collaborate with internal teams to shape ML initiatives.

The Senior Data/ML Engineer will design and maintain data products, build scalable data pipelines, and collaborate with teams to enhance business intelligence.

As a Senior Machine Learning Engineer, you will develop ML solutions for clinical research, collaborating cross-functionally to improve cancer care. Responsibilities include applying AI tools, optimizing language model strategies, and working with quantitative scientists and software engineers.

The Lead Machine Learning Engineer will design and implement ML applications and systems, mentor junior developers, and optimize data pipelines while collaborating with cross-functional teams.

The Machine Learning Engineer will design scalable ML solutions, analyze customer data, automate processes, and implement algorithms for business problems.

As a Senior Data Engineer, you'll build robust data pipelines and optimize data models for AI/ML uses, ensuring data quality and compliance while collaborating with other teams for scalable infrastructure.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.