CF
San Francisco, CA, United States
$199K – $275K/yr
PythonSQLPostgreSQLMySQL
SA
Active12mo ago
Tech Lead Manager- MLRE, ML Systems
Role overview
Job description
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! You will: Bui
…About this listing
- Source: Scale AI's official careers site (via Greenhouse) · last confirmed on the source 3 Nov 2026
- Posted 10 Oct 2025
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What they are looking for
Skills & requirements
Qualification
Scale's LLM post-training platform team builds our internal distributed framework for large language model training; You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation; Ideally you’d have: 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
Department · Research
Hiring company
Scale AI
Technology
Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.
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