Machine Learning Engineer Intern - NLU & ML Infra
Who We Are
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.
Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!
Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.
Come join one of the most innovative teams on the planet!
What You Will Do
Moveworks is seeking talented individuals to join our NLU & ML Infrastructure team as interns for the summer of 2024. This is an exciting opportunity to contribute to the development of our Large Language Model (LLM) based enterprise co-pilot platform. As an intern at Moveworks, you will be at the forefront of LLM technology, developing and deploying state-of-the-art models to our production systems. Our core intelligence system is an LLM that excels in reasoning capabilities, adept at understanding a variety of enterprise-specific tasks and complex user issues. This is achieved through our cutting-edge in-house LLM training and inference infrastructure, which allows us to create intelligent LLMs tailored to our customers' needs and serve the model at scale with low latency. As an intern, you will be a vital part of the team that manages the entire LLM operations end-to-end, contributing to an infrastructure that significantly impacts the core abilities of Moveworks' co-pilot intelligence.
- You will collaborate with a team of accomplished engineers with prior experience at leading tech companies like Google, Meta, and Amazon.
- You will learn practical skills in LLM operations including modeling, data generation, LLM training, and LLM serving.
- You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage.
- You will demonstrate the value of your contributions to Moveworks' products.
What You Bring To The Table
- Entering the last year of your bachelor’s or master’s degree; or currently pursuing a PhD.
- Pursuing a degree in computer science or related fields.
- Have extremely strong coding skills and speak our LLM / modeling vernacular.
- Experience in NLP model training and/or serving.
- Passionate about natural language understanding, information retrieval, or machine learning.
*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.
Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.
Moveworks Is An Equal Opportunity Employer
*Moveworks is proud to be an equal opportunity employer. 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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