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Senior AI/ML Engineer (Magnet-Griffeye)

Magnet Forensics
📍 Gothenburg🗓 Posted 2026-06-05
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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 a Senior AI/ML Engineer to join our team, building and operating AI systems that power our digital forensics capabilities; our work ranges from model training and evaluation through deployment, retrieval-augmented generation (RAG) pipelines, and agentic workflows. You will own complex initiatives end-to-end, shipping AI-powered systems that surface critical leads and insights for investigators, helping them solve cases faster and with greater confidence. You'll work closely with Product, UX, and other engineering teams to ensure our models and systems advance what's possible while meeting real-world constraints. 
The work on our team is diverse. In a given quarter, you might design an evaluation harness for an agentic system, fine-tune a model, prototype a retrieval pipeline, or partner with other engineering teams on production scaling. You'll work across the full stack (training, evaluation, RAG, agentic systems, deployment, and scale), and you'll be trusted to pick the right tool for each problem. 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, you will feel at home on this team!

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