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Jack & Jill

AI Infrastructure Engineer (+ Equity) at Machenta

London
Posted about 14 hours ago
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Job Title

AI Infrastructure Engineer

Salary

Not Disclosed + Equity

Company Description

Machenta is an elite London-based AI startup that recently raised a $40m seed round—the largest robotics seed in UK history—backed by Union Square Ventures and Creandum to build frontier models for robot learning.

Job Description

As a senior engineer at Machenta, you will own the design and optimization of large-scale AI training infrastructure. You will scale model training across GPU clusters, ensuring compute efficiency and high throughput. This hands-on role involves building distributed systems to enable robots to learn tasks from a single demonstration at human-level speeds.

Location

London, UK

Why this role is remarkable

  • Join a world-class founding team from Imperial College London’s Robot Learning Lab to build a breakthrough frontier model for robotics.
  • Work with significant resources following a record-breaking $40m seed round backed by premier investors like Union Square Ventures and Creandum.
  • Gain rare early-stage ownership and generous equity in a talent-dense startup moving into a state-of-the-art lab space in King's Cross.

What You Will Do

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  • Design and optimize large-scale distributed training systems using PyTorch, NCCL, DeepSpeed, and Megatron-LM across hundreds of GPUs.
  • Scale training on cloud infrastructure (AWS) while maximizing GPU utilization and throughput for modern accelerators like H100s and B200s.
  • Profile and optimize the full training stack, including networking, storage, and data pipelines, to ensure maximum efficiency of the compute budget.

The ideal candidate

  • Proven experience building and optimizing distributed training systems for large transformer-based neural networks across tens or hundreds of GPUs.
  • Deep technical understanding of the AI hardware/software stack and performance profiling for modern accelerators such as NVIDIA H100/H200 series.
  • Strong background in managing large-scale data pipelines and cloud infrastructure, ideally with experience training models on image or point cloud data.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack

  • An AI that gets to know you on a quick call, learning what you're great at and what you want from your career.
  • Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

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And I'm Jill

  • An AI Recruiter who talks to companies to understand who they're looking to hire.
  • Recruits from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

Jack's an AI agent for job searching and career coaching.

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Jill is the AI recruiter working for the company.

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We never post fake jobs

  • This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

  • Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

  • We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role.

  • If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
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Skills

PyTorch
NCCL
DeepSpeed
Megatron-LM
AWS
Distributed Training
GPU Optimization
Performance Profiling
Data Pipelines
Transformer-based Neural Networks

Location

London, England, United Kingdom

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