Job Description
We’re hiring a Machine Learning Research Scientist to work on post-training, evaluation, and large-scale foundation models.
What we’re looking for:
- 1.5–6 years of experience with post-training LLMs or large-scale foundation models
- Experience at a company training foundation models
- Hands-on SFT, post-training, or agent experiments
- Strong LLM training pipeline and evaluation expertise
- Proficiency with PyTorch and distributed training frameworks
- BS/MS in CS, ML, Math, or a related field
Nice to have:
- Experience evaluating reasoning, tool use, or agents
- Experience measuring data-quality impact on model behavior
- First-author NeurIPS, ICML, or ICLR publications
- PhD in a relevant technical field
You’ll design and run experiments, evaluate model behavior, and translate complex research findings into clear, actionable insights.
Skills
Data Qualityunmatched
Experiment Designunmatched
Machine Learningunmatched
Mathematicsunmatched
Publicationsunmatched
Quality Metricsunmatched
Scientific Researchunmatched
Writing Skillsunmatched
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