About this role
About the Role Moveworks is seeking a Machine Learning Engineer to help build cutting-edge ML infrastructure for training and serving large language models. You will design, optimize, and scale end-to-end ML systems and collaborate with cross-functional teams to deliver scalable AI for enterprise customers.
What You'll Do
- Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
- Build abstractions to automate various steps in different ML workflows.
- Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features.
- Drive best practices in ML and data engineering and contribute to scalable microservices and ETL pipelines.
What We're Looking For
- 5+ years of industry experience in Machine Learning, Infrastructure or related fields.
- Experience with deep learning frameworks such as PyTorch or HuggingFace, or LLM serving frameworks such as vLLM or TensorRT-LLM.
- Experience building and scaling end-to-end machine learning systems.
- Experience building scalable microservices and ETL pipelines.
- Expertise in Python and experience with performant languages such as C++ or Go.
- Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
- Effective communicator with experience collaborating cross-functionally with other teams.
- Interest in and ability to engage with research publications in ML and software engineering communities.
Nice to Have
- A love of research publications in the machine learning and software engineering communities.
Compensation & Benefits
- Salary and benefits are not disclosed in this posting.