Machine Learning Engineer - LLM

Key Skills

Data Analytics, Deep Learning, Effective communication skills, GoLang, HuggingFace, Infrastructure as code, Large Language Models - LLMs, Machine learning techniques, Optimization, Python Programming, PyTorch

Job Description

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 will you do?

• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows.
• 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.

What do you bring to the table?

• Significant academic background in ML and/or industry experience in Machine Learning, Infrastructure or related fields.
• Expertise in Python and Golang.
• Experience with building end-to-end machine learning systems.
• Experience building scalable micro services and ETL pipelines.
• Experience with deep learning framework such as Pytorch or Huggingface.
• A love of research publications in the machine learning and software engineering communities.
• Effective communicator with experience collaborating cross-functionally with other teams.

Nice to have:

• Experience with ML Inference framework such as TensorrtLLM or Nvidia Triton.
• Experience with distributed training frameworks such as Deepspeed.

Compensation Range: $160,000-190,000