Machine Learning Research Engineering Intern (Summer 2025)
About the Role
Join Scale AI as a Machine Learning Research Engineering Intern for Summer 2025. This role is perfect for those passionate about advancing AI applications and working on cutting-edge machine learning solutions. You will be part of a team focused on Generative AI, working with Large Language Models (LLMs), reinforcement learning from human feedback (RLHF), and synthetic data.
Responsibilities
- Research and Development: Develop machine learning solutions to assist humans in the loop and create high-quality ground truth data efficiently.
- Model Benchmarking: Work with public Large Language Models to benchmark and customize them for internal use cases.
- Model Improvement: Take state-of-the-art models, use them in production, identify areas for improvement, and enhance them through retraining and hyperparameter searches.
- Collaboration: Work closely with product and research teams to identify opportunities for improvement in current and upcoming product lines.
- Data Handling: Work with massive datasets to develop both generic models and fine-tune models for specific products.
Requirements
- Education: Currently enrolled in a PhD program focusing on Machine Learning, Deep Learning, or Computer Vision, with a graduation date in Fall 2025 or Spring 2026.
- Programming Skills: Experience with one or more general-purpose programming languages, including Python and JavaScript.
- Language Proficiency: Ability to speak and write in English fluently.
- Availability: Available for a Summer 2025 internship starting in May or June.
Preferred Qualifications
- Previous internship experience in Machine Learning, Deep Learning, or Computer Vision.
- Experience as a researcher, including internships, full-time positions, or lab work.
- Publications in top-tier journals such as NeurIPS, ICLR, CVPR, AAAI, or contributions to open-source projects.
About Scale AI
At Scale, we are committed to accelerating the development of AI applications. Our mission is to make the transition from traditional software to AI faster across every industry. We power the world's most advanced LLMs, generative models, and computer vision models, trusted by companies like OpenAI, Meta, and Microsoft.
Equal Opportunity
Scale AI is proud to be an affirmative action employer and 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.
Application Process
Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This ensures a fair and thorough evaluation of all applicants. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Join us in transforming how organizations build and deploy AI. Apply now to be part of a team that is at the forefront of AI innovation.
Benefits Extracted with AI
- Inclusive and equal opportunity workplace
- Reasonable accommodations for disabilities
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