# Machine Learning Scientist — Large Multimodal Models (Post-Training) at Iambic Therapeutics

- Company: Iambic Therapeutics
- What the company does: Iambic has created a cutting-edge AI-driven platform to tackle the most challenging design problems in drug discovery and address unmet patient need. Backed by Sequoia.
- Company website: https://www.iambic.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Boston Office
- Work setup: Remote
- Posted: 2026-08-27
- Apply by: 2026-10-11
- Apply: https://jobs.ashbyhq.com/iambic-therapeutics/50be2fab-54c1-4310-8cec-3fe6123b8a8f
- Page: https://www.1752.vc/careers/jobs/iambic-therapeutics-machine-learning-scientist-large-multimodal-models-post-trai/

## About the role

We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research and develop post-training methods for Enchant - our multimodal transformer model trained on a wide variety of biomedical data - pushing the boundaries of what large-scale foundation models can achieve in drug discovery.

## What they're looking for

- Reinforcement learning approaches such as RLHF, RLAIF, PPO, GRPO, RL with verifiable rewards, or related methods (strongly preferred)
- Supervised fine-tuning, full-parameter fine-tuning, parameter-efficient fine-tuning (LoRA), or related methods
- Systematic hyperparameter optimization or large-scale experimentation using tools such as Optuna, Ray Tune, or similar frameworks
- Strong engineering practices: reproducible experimentation, clean code, testing, and performance-aware debugging
- Comfort with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking tools such as Weights & Biases)
- PREFERRED

Tags: Technology