Generative Physics ML Engineer for Fast Simulations

BeyondMath; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Full Ownership in Company Direction

High Impact Work

Collaborate with Elite Experts

Job summary

BeyondMath, located in Greater London, seeks a Machine Learning Engineer to advance their Generative Physics simulation platform. You will design and train AI models for physics simulation, optimizing performance while integrating into engineering workflows.

The ideal candidate has a Master’s (PhD preferred) in a relevant field and strong experience with ML applications in physical systems. Join an elite team driving impactful technology in sustainable energy and efficient transport.

Qualifications

• Strong track record applying ML to complex real-world problems.
• Deep understanding of machine learning theory, including optimization and various model architectures.
• Ability to clearly explain complex ML concepts to diverse audiences.

Responsibilities

• Design and train deep learning models for physics simulation.
• Drive optimization efforts for model inference speed and accuracy.
• Partner with engineering teams to deploy models in production.

Skills

Machine Learning Theory

Python Programming

Deep Learning Libraries (TensorFlow/PyTorch/JAX)

Communication Skills

Education

Master's Degree in Machine Learning, Computer Science, or a related field

Job description

BeyondMath, located in Greater London, seeks a Machine Learning Engineer to advance their Generative Physics simulation platform. You will design and train AI models for physics simulation, optimizing performance while integrating into engineering workflows.

The ideal candidate has a Master’s (PhD preferred) in a relevant field and strong experience with ML applications in physical systems. Join an elite team driving impactful technology in sustainable energy and efficient transport.