Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure

Lila Sciences
London, England, United Kingdom
Full Time
On Site
Senior
USD 224,000 – 294,000
Science & Research Science Rnd Non Medical

Posted 2 days ago

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Excellent 4.7

Job summary

Seeking a Research Engineer to develop scalable, efficient scientific computing, ML, and physics infrastructure, collaborating with scientists to turn prototypes into robust systems, optimize GPU and distributed workloads, and support research workflows across clusters and environments.

Responsibilities

You will bridge the gap between research prototypes and production-grade systems by building scalable, fault-tolerant infrastructure for ML and physics-based drug discovery. This involves collaborating with scientists to optimize workflows, improve GPU utilization, and ensure operational reliability across compute environments.

Qualifications

CUDA distributed systems GPU computing JAX Linux ML Python PyTorch scientific computing simulation code

The role requires strong software engineering skills in Python and extensive experience operating distributed systems for data-intensive or scientific workloads. Candidates must have practical knowledge of GPU computing, containerization, and orchestration tools like Kubernetes or Slurm.

English

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Life insurance
  • Disability insurance
  • Flexible time off
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits
  • Company subsidized lunch program
  • Equity

Company

Lila Sciences

Lila Sciences

linkedin
Technology, Information and Internet
Location
London, England, United Kingdom
Website
lila.ai

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Excellent 4.7
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