# Member of Technical Staff - Research, Post-Training

Hiring organization: [Modal](https://career.thegoodapps.co/organizations/modal)

Canonical page: https://career.thegoodapps.co/jobs/55a50e95-cafb-455d-b977-906b3f4d53d2

Listed on Modal's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: New York, NY
- Salary: 150000 – 350000 USD per year

## Summary

Modal is seeking a research scientist to develop post-training methods and infrastructure for large language models, combining theoretical advances with practical deployment at scale. The role suits researchers with a track record in reinforcement learning and foundation models who want to bridge academic research and production systems.

_Our summary, not Modal's wording._

## Skills named

Machine Learning, Model Optimization, Model Training, Reinforcement Learning

## Required

- Track record in reinforcement learning, machine learning, or foundation models
- Experience with large-scale model training and inference
- Ability to translate research into product impact
- Collaborative work across research and engineering teams

## Nice to have

- PhD in computer science, machine learning, or related field
- Experience with multi-node GPU clusters and distributed systems
- First-author publications at top venues (NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, TMLR)
- Work on long-context or long-horizon tasks
- Expertise in inference-time efficiency and robustness

Apply on Modal's site: https://jobs.ashbyhq.com/modal/7db771eb-e379-47fe-974f-765a8780dc10/application