Research Engineer (LLM Performance), London

Isomorphic Labs
London
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Collaboration"]

Contribute to frontier research at the intersection of large language model performance and drug design. Join the model performance and scaling team to implement and optimize LLM post-training methods at scale, translate new research methods into production-ready systems, and continuously identify performance bottlenecks in distributed training and inference. Evaluate and deploy fine-tuning, reinforcement learning, and LLM evaluation frameworks, including low-precision techniques to improve accuracy-performance tradeoffs.

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Isomorphic Labs
Isomorphic Labs
2 days ago

Research Engineer (LLM Performance), London

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Last checked: 13 hours agoStatus: Live

Job Summary

Contribute to frontier research at the intersection of large language model performance and drug design. Join the model performance and scaling team to implement and optimize LLM post-training methods at scale, translate new research methods into production-ready systems, and continuously identify performance bottlenecks in distributed training and inference. Evaluate and deploy fine-tuning, reinforcement learning, and LLM evaluation frameworks, including low-precision techniques to improve accuracy-performance tradeoffs.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Implement and optimize LLM post-training methods at scale on frontier models.
  • •Partner with research teams to translate new methods into production-ready systems.
  • •Identify and execute on performance optimization opportunities.
  • •Evaluate and deploy supervised fine-tuning, reinforcement learning, and LLM evaluation frameworks.
  • •Diagnose and fix performance bottlenecks in distributed training and inference systems, including deploying low-precision methods.

Key Requirements

  • •Significant experience with large-scale distributed training of LLMs.
  • •Deep learning experience using ML frameworks such as JAX or PyTorch.
  • •Knowledge of parallelism strategies and collective communication libraries (e.g., NCCL).
  • •Strong understanding of GPU architectures and performance concepts.
  • •Excellent collaboration skills.
Experience:Large language modelsDistributed trainingMachine learningComputational biologyDrug discovery
Skills:Collaboration
Languages:English
Tech Stack:LLMsJAXPyTorchNCCLGPUXLATritonPallasCUDAGCP

Company Brief

Isomorphic Labs
Uses machine learning and computational biology to accelerate drug discovery and design novel therapeutics by modeling protein structures, mechanisms, and interactions to identify promising targets and candidates.
Industry: Biotech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: London, United Kingdom
Founded: 2021
WebsiteLinkedIn