Machine Learning Engineer Intern - NLU & ML Infra

Key Skills

Aartificial intelligence, ChatGPT, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Natural Language Understanding-NLU, Streaming APIs

Job Description

Moveworks is the copilot platform for automating employee support, empowering our customer’s workforce to converse with all of their business systems through natural language. Powered by the world’s most advanced LLMs and our proprietary MoveLM models, our copilot enables users to search information, automate tasks, and create content with generative AI.

Brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks to automate L1 support, enhance the employee experience, and navigate critical business initiatives.

Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion. We’ve been named to the 2023 Forbes Cloud 100 list as well as the Forbes AI 50 list for five consecutive years, while also earning recognition as the winner of the 2023 Edison Awards for AI Optimized Productivity, and as the Best Bot Solution at the 2022 AI Breakthrough Awards.

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:

• 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.

Who you are:

• 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.