Engineering Manager, AI Engineering (Magnet-Griffeye)

Magnetforensics · Gothenburg

ExclusiveRemoteFull-timePublished Jun 2, 2026

Apply directly on Magnetforensics’s careers site — no account needed.

About the role

Who We Are; What We Do; Where We’re Going
Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.
Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.
With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.
If you think you would be the right person to join our team working towards this goal, we would love to hear from you!

Role Overview

We are looking for an Engineering Manager to build, develop, and partner with a growing team of 5-10 ML Engineers working on AI systems that power our digital forensics capabilities. You'll be responsible for hiring, coaching, career development, and performance; raising the bar on AI/ML craft by shaping standards, developing engineers, and building a strong community of practice across the team.

Distributed across Canada and Sweden, our MLEs work in cross-functional groups alongside Software Engineers and SDETs, and are organized around missions like Search and Enrichment rather than by technical discipline. As part of the AI Engineering leadership team, you'll work alongside peers to build cohesion across those groups, partner with Tech Leads to shape how we approach difficult technical problems, and collaborate with Product and UX to make sure the team is solving the right problems for our users.

From building AI that investigators can trust to turn months of case work into days, to figuring out what 'good' looks like when users are searching for a needle in a haystack they've never seen before, our team works on challenging and meaningful problems. If these are the kinds of problems that interest you, then you will feel at home on this team!

Skills

  • Python
  • TensorFlow
  • PyTorch
  • SQL
  • Docker
  • Kubernetes

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