Top Machine Learning Engineer Jobs

The intern will develop, deploy, and operate machine learning models, driving research projects to solve real-world problems and collaborate with senior engineers on identifying use cases for ML on blockchain.

Design, implement, and manage complex machine learning algorithms with a focus on computer vision. Experience in MLOps, cloud platforms, and testing AI technologies is essential.

The role involves deploying machine learning to enhance Chewy's advertising solutions, developing models for product ranking and prediction, and collaborating with product leaders. Responsibilities include leading new models, publishing research, mentoring, and driving technical strategies.

The Principal Machine Learning Engineer will develop ML algorithms and optimize performance on ARM computing platforms, collaborating across hardware, software, and ML algorithms, while focusing on performance, power, and area.

Develop and lead the architecture for a unified Global Search system, optimizing for speed and personalization using advanced retrieval logic and integrations, ensuring high-performance search experiences.

The Staff ML Engineer will design and implement backend components for the ML Inference Platform, ensuring efficient model serving and collaborating with ML teams to enhance AI infrastructure at GM.

Lead the design, implementation, and deployment of scalable ML infrastructure for autonomous driving. Drive technical projects, mentor others, and collaborate with teams to enhance ML workflows.

Design and implement scalable cloud-based solutions for autonomous vehicles while managing projects, mentoring engineers, and collaborating across teams.

Join Freed as an ML Engineer to optimize speech recognition models and infrastructure. Contribute to AI solutions improving clinician satisfaction.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

Lead the development of production-grade ML systems, aligning technical roadmaps with company priorities, mentoring ML engineers, and ensuring ethical use of ML/AI.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision, testing algorithms, and transitioning them to production. Responsibilities include tracking advancements in ML, conducting experiments, and writing maintainable code.

Lead AI/ML engineer responsible for technical leadership, solution design, collaboration with stakeholders, performance optimization, and ensuring compliance with industry standards.

The Senior Applied Machine Learning Engineer will manage AI models for fall detection, improve infrastructure, and enhance model accuracy in a collaborative environment focused on older adults' safety.

Lead the design and development of real-time machine learning personalization architecture, focusing on user experience and dynamic content discovery.

The Principal Machine Learning Engineer will lead AI/ML product development, drive innovation, and collaborate across teams to enhance machine learning frameworks.

The role involves designing, developing, and deploying machine learning models and systems, collaborating with engineers and product teams to ensure reliable and scalable solutions while mentoring junior engineers.

The Senior AI/ML Engineer develops and deploys ML models for map content enhancement, leading technical guidance and collaboration with various teams.

Develop and implement AI-based tools for agentic systems, ensuring accuracy and efficiency while upholding ethical AI principles. Collaborate with cross-functional teams to translate AI advancements into production-ready capabilities.

Design, build, and deploy generative AI solutions (LLMs, RAG, agentic systems) using Python and .NET/C#. Develop APIs, containerize models, implement CI/CD, collaborate with stakeholders, and support production systems.

Lead AI/ML initiatives, design and implement AI-powered solutions, mentor team members, and ensure compliance in healthcare projects.

Seeking a Senior Data Engineer for the Risk Data Team to lead technical discussions, build scalable data systems, and ensure data quality. The role requires deep production data engineering expertise and people leadership skills.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.