Tech Lead Manager- MLRE, ML Systems

Scale AISan Francisco, CA, United States

5 days ago

Job type

Full-time

Job description

Overview

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

Responsibilities

Build, profile and optimize our training and inference framework.
Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
Research and integrate state-of-the-art technologies to optimize our ML system.

Qualifications

Passionate about system optimization

Experience with multi-node LLM training and inference

Experience with developing large-scale distributed ML systems

Experience with post-training methods like RLHF / RLVR and related algorithms like PPO / GRPO etc.

Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.

Strong written and verbal communication skills to operate in a cross functional team environment.

Nice to haves

Demonstrated expertise in post-training methods and / or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

We are an equal opportunity employer. We comply with applicable laws and regulations and provide reasonable accommodations to applicants with disabilities upon request. If you need assistance, please contact accommodations@scale.com.

#J-18808-Ljbffr

Create a job alert for this search

Tech Lead • San Francisco, CA, United States