or apply directly on Isomorphic Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Isomorphic Labs's roles stay open a median of 67 days
- Reposted
- No
- Salary listed
- No 0% of Isomorphic Labs's roles list one
- Ghost-job risk at Isomorphic Labs
- high 31 stale, 2 reposted of 32 open
- Hiring momentum
- 45 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Isomorphic Labs's own greenhouse board since 2026-08-03. Full hiring picture for Isomorphic Labs.
About this role
As a Research Engineer at Isomorphic Labs, you will work at the intersection of AI and drug design, contributing to the development and optimization of advanced AI models. Your role involves translating research concepts into practical implementations, designing and running experiments, and collaborating with scientists and engineers to address complex problems in computational biology and chemistry. You will also focus on enhancing the performance of AI models and developing tools to support these efforts.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Isomorphic Labs as an employer.
What you need
- 4+ years of experience working in reputable tech companies or research labs
- Advanced degree (Master’s or PhD) in a highly quantitative field (Computer Science, AI, Physics, Mathematics, etc.) or equivalent practical experience
- Deep understanding of machine learning principles and techniques
- Strong proficiency in deep learning frameworks such as JAX or PyTorch
- Hands-on experience building and working with modern model architectures (e.g., Transformers, GNNs, Diffusion Models)
- Experience taking models from conception to production (scoping, data analysis, training, debugging, evaluation, benchmarking, and deployment)
Nice to have
- A history of scientific contributions (e.g., publications at NeurIPS, ICML, ICLR, CVPR)
- Experience training models across distributed systems (multi-GPU/multi-node) and optimizing training and inference performance (e.g., XLA, Triton, CUDA, Pallas)
- A strong interest in, or knowledge of, biochemistry, computational biology, or drug discovery fundamentals
- Experience developing models for real-world applications
- Solid technical infrastructure knowledge and experience with low-level engineering (e.g., GCP, Kubernetes, Docker)
Worth weighing
- Hybrid working model requires in-office presence 3 days a week
- Focus on cutting-edge AI and drug discovery may involve high expectations and pressure
- Role may require navigating complex interdisciplinary challenges
Summarised from Isomorphic Labs's posting. Read the full original.
Listed by Isomorphic Labs on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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