Iambic currently has seven active job listings related to artificial intelligence. The majority of these roles, 43%, are focused on post-training aspects of AI development. Engineering is the most frequent function hiring for these positions, with research also being a significant area. The company is actively seeking candidates with expertise in technologies such as fine-tuning, model serving, and multimodal AI. Over the last 30 days, Iambic has added six new AI roles, representing a 100% increase compared to the preceding 30-day period.
Currently tracking 4 active AI roles, with 13 new openings in the last 4 weeks. Primary focus: Post-train · Engineering. Salary range $130k–$190k (avg $160k).
Iambic currently has 6 active AI-related roles in our index. The most common open titles are: Biological Structures Data Engineer I/II (2), Research Scientist II/Senior, Discovery Machine Learning, Machine Learning Scientist – Clinical Prediction, Machine Learning Scientist — Agentic data pipelines, Machine Learning Scientist — Large multimodal models. Most positions are in Engineering and Research.
Iambic's active AI hiring is concentrated in: post-training (50%), data (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Iambic is hiring AI talent in: United States (5 roles), Ireland (1 role).
Job postings at Iambic most frequently mention: Machine Learning, Drug Discovery, Data Quality, Python, Healthcare & Biomedical ML.
In the past 30 days, Iambic has posted 2 new AI-related roles. That is a -67% change versus the prior 30 days (6 → 2).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, ML & Scientific Services Software Engineer to productize ML workflows into reliable, repeatable production services with secure-by-design backend engineering, focusing on authorization, access scoping, data governance, and auditability for a cloud-based ML-driven drug-discovery platform. | ServePost-train | 7 |
| Software Engineer I/II, Machine Learning Seeking an ML Software Engineer (I/II) to build, deploy, and operate ML systems for drug discovery. Responsibilities include implementing production ML lifecycle workflows (training/finetuning, evaluation, inference), deploying GPU-accelerated applications, and collaborating with ML scientists. | ServePost-train |
| 7 |
| Platform Engineer, CloudOps Infrastructure Iambic is seeking a Platform Engineer, CloudOps Infrastructure to build and own the platform for their ML-driven drug-discovery workflows. This role involves creating deployment templates, an orchestration layer for model training and inference, and associated tooling, CI/CD, and observability. The position requires hands-on DevOps/CloudOps experience to operate and improve the system, adapting the platform to new ML research requirements. The ideal candidate will treat infrastructure as a product and ensure reliable and reproducible execution of ML workloads. | Serve | 5 |
| Senior Software Backend Engineer, Platform Computing Senior Backend Engineer to integrate and operate the compute layer for data processing and model inference on a drug discovery platform. Focus on infrastructure, orchestration, and ensuring reliable, scalable production workloads for ML engineers and scientists. | Serve | 5 |