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Machine Learning Engineer Intern
4 months ago
Moveworks is the AI copilot that takes the friction out of work.
It unifies every business system, giving employees one place to go to find information and automate tasks, increasing employee productivity by simplifying work.
Powered by an genAI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, the Moveworks Copilot understands employee requests, devises intelligent plans, then executes actions to get work done across application boundaries.
The world’s most recognizable brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to automate repetitive support issues, provide a universal search interface, and common use cases across different applications.
Founded in 2016, Moveworks has raised a total of $315 million in funding, and was most recently at $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 DoMoveworks 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.
- 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.
