Machine Learning Engineer
2 weeks ago
About the Role
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.
The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them.
It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.
The world's most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.
In this role, you will work closely with our machine learning team, data infrastructure team, and other core skills to build and productionize ML infrastructure that runs state-of-the-art models.
Key Responsibilities
- Design, build, and optimize 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.
- 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.
- 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
We provide a market-competitive salary, equity for all full-time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.
We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.
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