Machine Learning Engineer

Description:

Scale is growing rapidly, and joining the Global International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved:
 

• Building custom LLMs
• Providing high-quality training data for research institutions building LLMs from scratch
• Partnerships, upskilling, and advisory
   

As the first MLE hire on the team you will focus be on developing Models as a Service for our partners by optimizing LLMs through finetuning, RAG or other techniques. You will be involved end-to-end from coordinating with operations to create high quality datasets to productionizing models for our customers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!

You will:

• Study and implement cutting edge research in the field
• Design and implement agent workflows that leverage pre-training and fine tuning techniques to customize LLMs and embedding models for downstream tasks
• Understand customer needs
• Work with large unstructured data
• Build evaluation systems
• Work cross functionally with our data annotation teams and fine tune models on this data
• Travel monthly to meet with the customer