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$150,000 – $350,000
Listed on Modal’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Modal is seeking research scientists to advance their AI infrastructure platform's post-training capabilities, focusing on reinforcement learning and large-scale model optimization. This role suits researchers with deep expertise in LLMs and multimodal models who want to bridge cutting-edge research with production systems.
Our summary, not Modal’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- PhD in computer science, machine learning, or related field, or master's degree with significant research/industry experience
- Demonstrated research accomplishments in reinforcement learning, machine learning, or foundation models
- Experience with large-scale training and inference infrastructure including distributed systems and multi-node GPU clusters
- Experience developing, training, optimizing, or deploying large-scale models
Nice to have
- First-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR
- Mission-driven mindset and desire to translate research advances into product impact
- Ability to work effectively across research and engineering teams