Top Machine Learning Engineer Jobs

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

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.

The Principal AI Engineer will lead the development of AI systems for New Glenn manufacturing, focusing on optimizing processes, developing machine learning models, and enhancing quality control through automation and predictive analytics.

The role involves designing and deploying ML models for yield optimization, pricing, inventory allocation, and developing real-time decision systems within a programmatic advertising context, collaborating across teams and ensuring production-ready implementations.

The Senior ML Engineer will build and maintain large-scale ML production pipelines, focusing on delivering production-grade solutions and collaborating with R&D teams. Responsibilities include prototyping new algorithms, managing datasets, and optimizing ML models for customer impact.

As a Software Engineer (AI), you will design and implement AI systems, manage backend services, and collaborate closely with teams. You need extensive experience with LLMs and backend technologies.

As a Machine Learning Engineer, you will build and optimize models and systems for protein design, enhancing ML pipelines and infrastructure to support scientists.

The role involves deploying and optimizing LLMs, designing the ML serving stack, and ensuring high-performance GPU services for production readiness.

The ML Scientist will develop machine learning models for climate risk, collaborate across teams, and validate algorithms to improve predictions of weather extremes.

As a founding Machine Learning Engineer, you will improve core models, optimize LLM inference, develop data pipelines, and ship features directly to users.