Top Remote Machine Learning Engineer Jobs in Los Angeles, CA

The Machine Learning Engineer will work on sensing and perception algorithms, deploying computer vision algorithms, and collaborating for code testing and evaluation.

Develop machine learning driven products and tools for Firefox, lead design and integration of AI models, and mentor junior engineers.

Lead the design and deployment of machine learning models for personalized healthcare, mentor engineers, and collaborate across teams to improve ML infrastructure.

Lead the architecture and development of machine learning systems for personalized care, treatment intelligence, and automation at scale. Collaborate with cross-functional teams and mentor engineers.

The Principal Machine Learning Engineer will architect and scale ML systems for personalized healthcare. Responsibilities include system design, optimization, technical leadership, and mentoring within the team.

This role focuses on enhancing data for autonomous vehicle models using multi-modality ML techniques, software engineering, and data quality evaluation.

Lead the development of AI features using machine learning and large language models, mentoring the team, and transforming audit processes.

Lead machine learning strategy for Pinterest's search, focusing on indexing, query understanding, personalization, and generative approaches while mentoring junior engineers.

Develop and deploy machine learning models, manage end-to-end project lifecycles, collaborate with teams, and optimize performance in production environments.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Lead the architecture and development of AI and ML features, design evaluation frameworks, and mentor team members to enhance ML-driven product experiences.

Lead the strategy and architecture for identity resolution systems, develop ML models for user matching, and mentor engineering teams.

The Staff Machine Learning Engineer will enhance Reddit's ad ranking systems, develop ML models, and mentor peers based on ad conversion and ranking aspects.

Develop and deploy machine learning models for ad tech, optimize performance, collaborate across teams, and influence advertising strategy at Netflix.

You will develop and implement machine learning algorithms for monitoring and alerting applications, while mentoring early career engineers and integrating observability data with LLMs.

Design and develop scalable machine learning solutions to enhance Netflix's personalization systems, while collaborating with cross-functional teams.

Design and develop machine learning models for media search enhancement, focusing on LLMs and VLMs, while collaborating with interdisciplinary teams.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

Collaborate with research engineers to build infrastructure for ML operations and automate model training for computer vision applications.

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 Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Develop and enhance a centralized platform for Search & Recommendations, collaborating across teams, and building secure scalable systems using AI/ML solutions.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.