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Member of Technical Staff, Model Training (post-training research)
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About the Role
The Role In this role, you will investigate how learning algorithms, training data, and evaluation methodologies interact to produce stronger reasoning, generalization, and agent capabilities. You will explore new approaches to reinforcement learning, distillation, and data-efficient training, translating research insights into scalable methods that improve model intelligence. This is a highly experimental role at the intersection of fundamental machine learning research and large-scale model development. You will have the opportunity to formulate research hypotheses, design ambitious experiments, and develop training methods that directly influence the capabilities of our models.
What You'll Do
- Research, implement, and scale advanced post-training methods, including supervised fine-tuning (SFT), reinforcement learning (RL), and on-policy distillation (OPD), across large language and multimodal models.
- Investigate learning objectives, optimization dynamics, exploration strategies, and credit assignment mechanisms to improve training stability, sample efficiency, and capability acquisition.
- Develop and refine training recipes by jointly optimizing data mixtures, sampling strategies, curricula, and evaluation methodologies.
- Design methods for learning from expert demonstrations, human preferences, corrections, and model-generated trajectories, identifying where human feedback delivers the greatest improvements.
- Research the co-evolution of generators, reward models, and graders, developing approaches that improve both model performance and the quality of the training signals they consume.
- Design rigorous experiments, ablation studies, and evaluation frameworks to measure generalization, reasoning, and performance on realistic downstream tasks.
- Own research initiatives end-to-end, from identifying promising directions and implementing new algorithms to executing large-scale experiments and validating results.
- Strong foundations in machine learning, deep learning, optimization, and modern model training techniques.
You're a Good Fit If You
- Required skills: Reinforcement Learning & Optimization, Post-Training Algorithms, Training Data Strategy & Curriculum Learning, ML Research & Experimental Design
Role Highlights
Pay & Payout
Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.
Common Questions
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About micro1 for this role
We track 368 open micro1 roles on AI Work Expert. This role lists $600K-$1.8M/yr. Our reliability rating for micro1 is reliable, with an onboarding time of 1-3 days.
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