Senior Machine Learning Infrastructure Engineer
3 weeks ago
We are seeking a highly skilled Machine Learning Engineer to join our team at Moveworks. As a Machine Learning Engineer, you will be responsible for designing, building, and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
Key Responsibilities
- Design and build scalable machine learning infrastructure to support training, evaluation, and deployment of large language models
- Collaborate with cross-functional teams of engineers, data analytics, machine learning experts, and product to build new features
- Leverage your experience to drive best practices in ML and data engineering
Requirements
- 2+ 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 with 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 GoLang
- Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field
What We Offer
- Market competitive salary
- Equity for all full-time roles
- Exceptional benefits
- Commissions or bonus plans for applicable roles
About Moveworks
Moveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. Our team is passionate about building innovative solutions that make a real impact on people's lives. If you're passionate about AI and want to be part of a team that is changing the way businesses work, we'd love to hear from you.
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