Machine Learning Research Engineering Intern

Summary

Join the ML team at Scale and contribute to developing machine learning solutions advancing the company mission. You'll work on a combination of deeply technical ML applications in production and cutting-edge research problems.

Requirements

• Currently enrolled in a PhD Program with a focus on Machine Learning, Deep Learning, Computer Vision with a graduation date in Fall 2025 or Spring 2026
• Experience with one or more general purpose programming languages, including: Python, Javascript, or similar
• Ability to speak and write in English fluently
• Be available for a Summer 2025 (May/June starts) internship

Responsibilities

• Research and develop machine learning solutions to assist humans in the loop
• Aid in the creation of high quality ground truth data with speed and accuracy
• Work with public Large Language models to benchmark and make custom versions for internal use cases
• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
• Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
• Work with massive datasets to develop both generic models as well as fine tune models for specific products

Preferred Qualifications

• Have had a previous internship around Machine Learning, Deep Learning, or Computer Vision
• Experience as a researcher, including internships, full-time, or at a lab
• Publications in top-tier journals such as NeurIPS, ICLR, CVPR, AAAI, etc. or contributions to opensource projects