Top Machine Learning Engineer Jobs

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/ML infrastructure for simulations. Collaborate on realism models, scale distributed systems, and ensure alignment with business goals.

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.

The Senior Engineer in AI & ML will design and productionalize machine learning models, collaborating with Data Scientists to implement scalable solutions and enhance customer experiences at CarMax.

The Staff Machine Learning Engineer will design, develop, and optimize machine learning applications, mentor junior engineers, and conduct research to enhance Quantcast's ML systems.

The role involves developing large-scale data processing pipelines, automating data selection, and collaborating on ML model improvements to enhance vehicle performance and safety.

The role involves engineering and implementing LLM-driven systems, developing AI-assisted tools, collaborating across teams, and mentoring on emerging AI techniques.

As a Senior Machine Learning Engineer at Axon, you will develop AI solutions for public safety, collaborate on projects, architect platforms, and ensure ethical AI development.

The role involves applied research on market data to create predictive trading signals, designing features for strategies, and collaborating with teams for execution.

The System Engineer will test Machine Learning models, optimize system performance, and automate data set characterization while ensuring integration with current products.

Responsible for bioinformatics ML/AI application development in clinical settings, designing and deploying ML/AI solutions, and collaborating with multidisciplinary teams.

Lead the ML lifecycle from data collection to deployment, applying deep learning and NLP for solutions, and collaborating with teams to deliver ML projects.

As a Staff Software Engineer, you will lead the development of Cake's AI platform infrastructure, focusing on building, operating, and improving ML systems. The role requires collaboration with customers to address ML challenges and enhance platform capabilities, emphasizing ownership and operational excellence.

Hinge seeks a Senior Machine Learning Engineer to develop AI-driven dating experiences. Responsibilities include model development, collaboration with teams, and leadership in project execution.

Lead the development of autonomous vehicle software, collaborate cross-functionally, and mentor team members while improving system performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The ML Infrastructure Engineer will develop and scale AI safety systems infrastructure, optimize machine learning pipelines, and ensure reliable system performance while collaborating with research teams.

The Training ML Framework Engineer will enhance training throughput in a distributed ML framework, collaborate with researchers, and optimize systems.

The Senior Machine Learning Engineer will enhance recommendation systems, employ AI/LLM technologies, and drive AI innovation for content discovery and user engagement.

As a Senior Machine Learning Engineer, you'll design and implement large-scale ML systems to enhance ad relevance and performance, mentor engineers, and collaborate with cross-functional teams in Mandarin.

Build and optimize the ML infrastructure for Coupang Ads Tech, improving the lifecycle of ML engineering for enhanced developer experience and efficiency.

The role involves developing and deploying NLP models, specifically focusing on LLMs. Responsibilities include designing models, implementing MLOps practices, and collaborating with teams to enhance webAI's platform.

Design and implement MLOps systems for ML and LLM services, ensure reliability, and collaborate across teams to optimize AI solutions.