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This listing was closed on Jul 20, 2026.
Browse Open JobsMachine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI
Summary by AIEngineer.careers
Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI is a AI Research Engineer role (full-time). with Scale AI. in REMOTE, WORLDWIDE. Imported listing (source: hirevector.liveblog365.com). Apply on the employer's site (hirevector.liveblog365.com).
Imported listing (source: hirevector.liveblog365.com) · Apply on hirevector.liveblog365.com
REMOTE · WORLDWIDE
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from hirevector.liveblog365.com
Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The ML Systems Research Engineer will build and optimize algorithms for a next-gen Agent RL training platform, collaborating with teams to enhance model training and deployment for various enterprise applications.
Responsibilities
- Build, profile, and optimize training and inference framework
- Post-train state-of-the-art models to define stable post-training recipes for enterprise engagements
- Collaborate with ML teams to accelerate research and development
- Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts
Requirements
- 1-3 years of LLM training in a production environment
- Passionate about system optimization
- Experience with post-training methods like RLHF/RLVR and algorithms like PPO/GRPO
- Knowledge of modern GPU cluster architecture
- Experience with multi-node LLM training and inference
- Strong software engineering skills: CUDA, PyTorch, transformers, flash attention
- Strong written and verbal communication skills
- PhD or Masters in Computer Science or related field
Scale AI
San Francisco · US · 1500+ employees
Scale AI is a leading data platform providing high-quality training data and AI infrastructure for machine learning. The company helps enterprises and governments build, deploy, and monitor reliable AI applications.
