# Member of Technical Staff - Research, Post-Training at Modal

- Company: Modal
- What the company does: Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams. Backed by Accel, General Catalyst and AI Grant.
- Company website: https://modal.com/
- Type: Startups (AI role)
- Level: Senior
- Location: New York
- Work setup: On-site
- Pay: $150K to $350K base salary per year (USD)
- Posted: 2026-07-05
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/modal/7db771eb-e379-47fe-974f-765a8780dc10
- Page: https://www.1752.vc/careers/jobs/modal-member-of-technical-staff-research-post-training/

## About the role

We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work.

## What they're looking for

- A PhD in computer science, machine learning, or a related field. Candidates with a master’s degree and significant research or industry experience will also be considered
- A demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields
- Experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters
- Experience developing, training, optimizing, or deploying state-of-the-art large-scale models
- First-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR
- A mission-driven mindset and a strong desire to translate research advances into meaningful product impact

Tags: Engineering