Remote Performance Engineer: ML Training & Kernels

Remote Performance Engineer: ML Training & Kernels

Full-Time 60000 - 80000 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Optimise advanced language models and improve training metrics using cutting-edge technology.
  • Company: Cohere, a forward-thinking tech company based in Greater London.
  • Benefits: Remote-friendly work, co-working spaces, and competitive benefits.
  • Other info: Dynamic role with opportunities for innovation and growth.
  • Why this job: Join a team pushing the boundaries of AI and make a real impact.
  • Qualifications: Strong software engineering skills, Python proficiency, and GPU experience.

The predicted salary is between 60000 - 80000 Β£ per year.

Cohere is seeking a Performance Engineer in Greater London to optimize the performance of advanced language models and systems. You will focus on improving model training metrics and ensuring high accelerator utilization.

The role involves:

  • Designing scalable software
  • Writing low-level CUDA kernels
  • Experimenting with ideas on super-compute infrastructure

Applicants should have strong software engineering skills and proficiency in Python, with experience in GPUs and distributed training.

Cohere supports a remote-friendly work environment, offering benefits like co-working spaces for remote teams.

Remote Performance Engineer: ML Training & Kernels employer: Cohere

Cohere is an exceptional employer that champions innovation and compliance in the rapidly evolving field of AI. With a strong commitment to employee growth, we offer a collaborative work culture where your expertise in EU regulations will directly influence our cutting-edge projects. Located in a vibrant tech hub, our team enjoys unique networking opportunities and access to industry leaders, making it an ideal place for professionals looking to make a meaningful impact.

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Contact Details:

Cohere Recruitment Team

We think you need these skills to ace Remote Performance Engineer: ML Training & Kernels

Performance Engineering
Model Training Metrics
CUDA Programming
Software Design
Python Proficiency
GPU Experience
Distributed Training