Top Machine Learning Engineer Jobs

As a Senior Machine Learning Engineer at Unity, you will modernize infrastructure, build intelligent systems using LLMs, and mentor teammates.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

The Senior Machine Learning Engineer will modernize Unity's AI systems by designing intelligent agents, developing applications, and ensuring quality through collaboration and innovation.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

As an AI/ML Platform Engineer, you'll design and manage ML pipelines on Azure, operationalize AI solutions, and automate deployment processes while collaborating with diverse technical teams.

As a Senior Machine Learning Engineer, you will drive AI vision, develop models, and collaborate cross-functionally to enhance user experiences.

The role involves building and scaling infrastructure for machine learning, particularly focused on Large Language Models, while providing technical leadership and mentoring juniors.

The role involves building and maintaining machine learning infrastructure focusing on LLMs, designing scalable solutions, and mentoring teams.

Assist in migrating medical imaging AI algorithms from C++ to Python and from CPU to GPU compute, while gaining exposure to cardiac AI technologies and cloud architectures.

As a Senior Machine Learning Engineer, develop LLM evaluation frameworks and agentic AI workflows to extract insights from conversations and optimize customer experiences.

Lead the development of AI-driven search and recommendation systems, mentoring a team, optimizing ML models, and collaborating across teams to transform construction procurement.

As a Senior Machine Learning Engineer, you'll develop advanced AI systems, focusing on search ranking, recommendation engines, and document extraction. You'll oversee model design, implementation, and deployment while collaborating with teams to innovate construction technology solutions.

As an ML Solutions Architect, design, implement, and lead machine learning solutions for Conversation AI, collaborating with cross-functional teams to address complex business challenges.

The ML Engineering Intern will contribute to the Nebula LLM development, tackle machine learning challenges, and gain hands-on experience in AI and language technology.

Responsible for architecting high-performance machine learning silicon, collaborating with software and design engineers, and driving innovation in AI hardware solutions.

The role involves designing and deploying AI/ML models, collaborating with stakeholders, and enhancing operational efficiency through innovative solutions.

Join ComfyUI to optimize model inference and build a core engine for AI models, ensuring efficiency and performance in visual AI workflows.

As a Machine Learning Engineer, you will deploy models to production, manage data pipelines, and collaborate with partners, focusing on MLOps best practices.

Design and deploy intelligent systems to automate infrastructure workflows using advanced technologies. Rapid prototyping and production of applied AI solutions is essential.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.