Machine Learning Engineer, Foundation Model Services

Work closely with product teams to build production-grade solutions that launch models serving customers in real time.
Partner with foundation model researchers to prototype and develop inference for cutting-edge model architectures, and build tools that help us understand and remove performance bottlenecks across different hardware and use cases.
Write high-quality code, learn quickly in a fast-moving field, and grow your impact as you take on larger pieces of the system.

Minimum Qualifications
2+ years of industry experience building and shipping production software and/or machine learning systems.
Proficiency in a modern programming language such as Go or Python.
Experience deploying and operating services on a cloud platform (AWS, Azure, GCP, or equivalent) using containers and Kubernetes/Docker.
5 year+ industry experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
Experience building or operating high-throughput, low-latency services.
Strong communication and collaboration skills, with the ability to partner across research and product teams.
Bachelor’s degree or higher in Computer Science or related technical field.

Preferred Qualifications
Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.