Top Machine Learning Engineer Jobs

The intern will focus on developing and evaluating machine learning models for automated scoring of Spanish responses, collaborating with psychometricians and data scientists.

The ML Engineer will build custom models and data systems for the AI platform, focusing on enhancing ML capabilities in the insurance domain and managing the full ML lifecycle including data pipelines and evaluation frameworks.

The Machine Learning Engineer will design and implement models and data pipelines for programmatic advertising, collaborating with data scientists to enhance ad performance.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.

As a Mobile Robots Intern, you'll research and implement SLAM algorithm enhancements in C++ and Python, validate solutions on AGVs, and present findings.

The Senior Staff AI Engineer will lead the development of advanced LLM-based agents, implementing data science strategies and managing a team while ensuring performance and reliability of AI systems.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

Manage and grow the ML team, define goals and metrics, drive ML initiatives, build evaluation processes, and collaborate cross-functionally to enhance product delivery.

As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.