Machine Learning Research Scientist / Research Engineer, Post-Training – Scale AI – Jobs in New York City Metropolitan Area | OpenJobs AI

Job Details

Overview Company

Machine Learning Research Scientist / Research Engineer, Post-Training

$252k/y-$315k/y

Scale AI

a day ago

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OnsiteFull-time

Summary

Scale AI is seeking a Machine Learning Research Scientist / Research Engineer, Post-Training to join their team in the New York City Metropolitan Area. The role focuses on optimizing data curation and evaluation to enhance LLM capabilities in both text and multimodal modalities.

About the Role

As a Machine Learning Research Scientist / Research Engineer, you will research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities. You will design and experiment with new approaches to preference optimization, analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Additionally, you will publish research findings in top-tier AI conferences and collaborate with researchers and engineers to define best practices in data-driven AI development.

About You

Required:

Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
Excellent written and verbal communication skills.

Preferred:

Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals.
Previous experience in a customer facing role.

Benefits

Comprehensive health, dental and vision coverage.
Retirement benefits.
Learning and development stipend.
Generous PTO.
Potential commuter stipend.

Scale AI

At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment. Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea.

New York City Metropolitan Area