or apply directly on Isomorphic Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days Isomorphic Labs's roles stay open a median of 32 days
- Reposted
- No
- Salary listed
- No 0% of Isomorphic Labs's roles list one
- Ghost-job risk at Isomorphic Labs
- high 13 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
- 2026-09-17
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 focused on LLM performance at Isomorphic Labs, you will work within a model performance and scaling team, collaborating with scientists and engineers to optimize large language models for drug design applications. Your role will involve implementing post-training methods, diagnosing performance issues, and deploying frameworks for fine-tuning and evaluation, all aimed at transforming biopharmaceutical processes through advanced AI techniques.
- benefits
- 1/5
- freshness
- 5/5
- 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
- Significant experience with large scale distributed training of LLMs
- Experience with deep learning ML frameworks (either JAX or PyTorch)
- Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL)
- Good understanding of GPU architectures
- Excellent collaboration skills
Nice to have
- Experience with general LLM serving stacks
- Knowledge of XLA, Triton, Pallas, CUDA or similar accelerator DSLs / compilers
- Experience with optimising ML accuracy using low-precision formats
- Prior experience building, deploying and maintaining production systems on GCP
- Interest in chemistry and biology
Worth weighing
- Hybrid working model requires in-office presence three days a week
- Focus on collaboration and interdisciplinary work may require adaptability to different fields
- Role involves cutting-edge AI applications, which may entail a fast-paced and demanding environment
Summarised from Isomorphic Labs's posting. Read the full original.
Listed by Isomorphic Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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