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Machine Learning Research Scientist, Post-Training

Scale AISan Francisco, CA; Seattle, WA; New York, NYResearch
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Salary
Not listed
Job type
Full-time
Posted
11 Feb 2025
Status
Open · checked 7d ago

About this role

Scale AI is seeking a Machine Learning Research Scientist for post-training to innovate large language model development across text and multimodal modalities. Based in San Francisco, CA, Seattle, WA, or New York, NV, this role suits experienced researchers passionate about shaping the next generation of generative artificial intelligence.

Role Overview

This position involves advancing foundational model performance by focusing heavily on post-training methodologies. Professionals in this capacity will build novel approaches to alignment, evaluation, and data curation while collaborating directly with premier foundation model labs. Team members share strategic and technical guidance to accelerate generative artificial intelligence progress globally.

Key Responsibilities

Research and implement advanced post-training techniques like SFT, reward modeling, and RLHF for text and multimodal large-scale generative models.
Create and test experimental frameworks dedicated to preference optimization.
Evaluate model performance, isolate weaknesses, and design mitigation strategies for bias and robustness.
Share scientific findings through publications at prominent artificial intelligence conferences.
Partner alongside engineering teams to establish data-driven development standards.

Requirements

Possess a Master's degree or Ph.D. in artificial intelligence, computer science, machine learning, or a related academic discipline.
Bring strong knowledge regarding large-scale model fine-tuning, reinforcement learning, and deep learning.
Demonstrate hands-on experience utilizing instruction tuning, preference modeling, or reinforcement learning from human feedback.
Exhibit strong verbal and written communication abilities.
Show a track record of published academic research at major journals or venues like NeurIPS, ICML, ICLR, ACL, CVPR, or EMNLP.
Bring previous background operating inside customer-facing environments.

Skills and Tools

Large Language Models (LLM)
Supervised Fine-Tuning (SFT)
Reinforcement Learning from Human Feedback (RLHF)
Reward Modeling
Preference Optimization

Salary and Benefits

The base salary range for this position in San Francisco, New York, and Seattle spans from $165,600 to $207,000 USD, with exact figures determined by experience, qualifications, and interview performance. Eligible employees receive equity-based compensation subject to board approval. Comprehensive benefits feature dental, vision, and health coverage, retirement programs, a learning and development stipend, generous paid time off, and potential commuter stipends.

About the Company

Scale AI builds reliable generative systems designed to empower critical global decisions through high-quality data and full-stack technology. The enterprise partners with leading artificial intelligence labs, major corporations, healthcare institutions, and government agencies to support the deployment of impactful generative tools.

How to Apply

Interested candidates should submit their application directly through the official Scale AI careers portal.

Skills and tech stack

LLM

Questions candidates ask

What locations are available for this position?

This role is located in San Francisco, CA, Seattle, WA, and New York, NY.

What is the salary range for this role?

The base salary range for this full-time position in San Francisco, New York, and Seattle is $165,600 to $207,000 USD.

What qualifications are preferred for candidates?

Candidates ideally hold a Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field, alongside published research at major conferences.

What benefits are provided by the company?

Eligible employees receive comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipends, generous paid time off, commuter stipends, and equity-based compensation.

How can I apply for this job?

Candidates should apply directly on the official company careers page.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site