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PhysicsX

Senior Machine Learning Software Engineer, Research

PhysicsX · London, United Kingdom

Posted about 2 months ago

or apply directly on PhysicsX's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
PhysicsX's roles stay open a median of 66 days
Reposted
No
Salary listed
No
26% of PhysicsX's roles list one
Ghost-job risk at PhysicsX
high
33 stale, 2 reposted of 42 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from PhysicsX's own greenhouse board since 2026-08-03. Full hiring picture for PhysicsX.

About this role

In this role, you will be responsible for owning the training stack for machine learning models, including distributed training and optimization of model architectures. You will implement and optimize various technical components, take architectural ideas from prototype to trained model, and identify engineering investments that can enhance research progress. Collaboration with a high-caliber team and contributing to impactful AI-driven engineering solutions are key aspects of the position.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PhysicsX as an employer.

What you need

  • Senior-level experience in training machine learning models at scale
  • Experience with distributed training using FSDP or equivalent
  • Proficiency in PyTorch and CUDA, including sparse convolution or sparse attention internals
  • Ability to implement architectures from research papers and optimize them for performance
  • Experience with reproducible experiment infrastructure
  • Familiarity with 3D or irregular data such as meshes, point clouds, and sparse tensors

Nice to have

  • PhD in a relevant field
  • Open-source contributions
  • Public technical writing
  • Papers at MLSys, SIGGRAPH or CVPR

What you get

  • Equity options
  • 10% employer pension contribution
  • Free office lunches
  • Enhanced parental leave
  • YellowNest nursery scheme
  • 25 days of Annual Leave (+ Public Holidays)

Worth weighing

  • No salary listed
  • Focus on AI and machine learning may require a strong background in these areas
  • The role involves significant ownership and responsibility, which may not suit everyone

Summarised from PhysicsX's posting. Read the full original.

Listed by PhysicsX on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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