Senior Machine Learning Engineer

Reqiva are working with a newly funded start-up focused on transforming the field of numerical simulation. Looking to disrupt this industry with AI technology, and they want you to be part of it.

As a member of their world-class team, you'll develop architectures and systems for industrial-level applications, scale up algorithms for large-scale models, contribute to cutting-edge ML research and development, create novel algorithms for physics simulation, and collaborate with our team and partners to deliver impactful solutions.

You may fit this role if..
You're someone who thrives on solving novel problems, understands ML architectures, can scale ML for multi-GPU workloads, and is comfortable in a start-up environment.

Qualifications:

• PhD/MSc or equivalent experience in an advanced technical field.
• Proven track record in machine learning, including designing & building large-scale systems.
• Industrial experience with large-scale ML and parallelism.
• Proficiency in PyTorch, TensorFlow, NumPy, SciPy, or Pandas.

Nice-to-have:

• PhD or advanced degree in Machine Learning.
• Industrial experience in ML and contributions to the field.
• Knowledge of physics numerical methods (CFD, electromagnetics, mechanics).
• Strong background in Linear Algebra, Calculus, and Statistics.
• Experience with numerical simulation tools for design.

Join in reshaping the future of numerical simulation. Apply now and be part of an exciting journey where we revolutionise an industry with AI.
  
Our client offers a hybrid working environment from the offices based in Cambridge alongside a competitive salary and equity. 

01189 595 552 
a.ring@reqiva.com