Machine Learning Research Engineering Intern Summer 2025
Machine Learning Research Engineering Intern Summer 2025
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Salary Not Disclosed
1 Vacancy
Job Description
The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are in Generative AI working on LLMs posttraining RLHF safety and capabilities evaluations scalable alignment and synthetic data. Youll be working on a combination of deeply technical ML applications in production and cuttingedge research problems. Working at Scale will give you opportunities to work with our wide customer base which includes leading research teams and exposure to a wide range of problems within machine learning.
We are building a large hybrid humanmachine system in service of ML pipelines for dozens of industryleading customers. Our machine learning models form the basis for Scales expansion and future product strategy. We currently complete billions of tasks a month and will continue to grow to support more complex use cases and more advanced MLpowered products.
Example Projects:
- 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.
Required to have:
- 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
Ideally youd have:
- Have had a previous internship around Machine Learning Deep Learning or Computer Vision
- Experience as a researcher including internships fulltime or at a lab
- Publications in toptier journals such as NeurIPS ICLR CVPR AAAI etc. or contributions to opensource projects
PLEASE NOTE:Our policy requires a 90day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry and our team is transforming how organizations build and deploy AI. Our products power the worlds most advanced LLMs generative models and computer vision models. We are trusted by generative AI companies such as OpenAI Meta and Microsoft government agencies like the U.S. Army and U.S. Air Force and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors Pay Transparency provision.
PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.
Required Experience:
Intern
Employment Type
Intern
