Machine Learning / Computer Graphics Engineer (remote part/full time) - Junior/Mid/Senior — Opportunihub
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Machine Learning / Computer Graphics Engineer (remote part/full time) - Junior/Mid/Senior

Imnoo AG · Remote job

At a glance

Type
Job
Organisation
Imnoo AG
Location
Remote job
Work mode
Remote
Deadline
Rolling / not stated
Posted
22 Oct 2026

About this job

<p><strong>Geometry with consequences.</strong> Deep learning on 3D CAD data where correctness translates into steel and aluminum, not pixels.</p><p><strong>The ultimate tinkerer's playground.</strong> Physical machines, shop floors, and modern cloud architectures all in one stack.</p><p><strong>Tangible impact.</strong> Your work feeds the data pipelines that power our AI quoting and calculation engines. Factories operate differently because of what you ship.</p><p><strong>High autonomy.</strong> A fragmented industry full of unsolved problems, and the freedom to prototype, test, and deploy your own solutions end-to-end.</p><p style="min-height: 1.7em;"></p><p>What you'll do:</p><ol><li><p>Develop advanced feature-extraction and data-processing solutions for 3D CAD, 2D, and batch data feeding our machine learning systems.</p></li><li><p>Build, train, and industrialize deep learning models that understand geometry and drive our quoting, calculation, and optimization engines.</p></li><li><p>Enhance and extend our 2D/3D/CAD tools and geometry solutions.</p></li><li><p>Design, engineer, and own cloud services, APIs, and automated model training/deployment — from proof of concept to production under real load.</p></li><li><p>Go deep across interconnected cloud, data, computer vision, and ML services spanning multiple languages and platforms.</p></li></ol><p><br><br>For over 10 years at Imnoo at Imnoo, we are bridging the gap between applied artificial intelligence and heavy industrial machinery. </p><p>Imnoo is sustainability focused, creating real value as well as a profitable company with stable base.</p><p style="min-height: 1.7em;"></p><p>We aren't just riding the recent AI wave, we have been deeply rooted in machine learning and statistical analysis for 10 years, delivering real, measurable value to a stable, loyal client base of manufacturers.</p><p style="min-height: 1.7em;"></p><p>Imnoo is a leading SaaS platform built to analyze CNC parts, automate quoting and planning, and seamlessly connect the cloud with real manufacturers and shop-floor machines. We are looking for a unique hybrid (a CAD AI IoT Engineer / Tinkerer) who thrives at the intersection of software architecture and physical hardware. You won't just be writing code behind a desk; you will be the mastermind connecting our battle-tested algorithms directly to the pulse of the factory floor. If you love reverse-engineering industrial protocols, building edge data pipelines, and parsing complex 3D geometry to automate the business of manufacturing, this is your playground.</p><p style="min-height: 1.7em;"></p> <br> <ol><li><p><strong>Machine learning / deep learning experience.</strong> Real development experience or serious projects: building, training, and shipping models (PyTorch, PyTorch Lightning, scikit-learn or similar), not just coursework or library calls.</p></li><li><p><strong>Strong mathematical understanding.</strong> Linear algebra, geometry, statistics, probability. Our problems are mathematical at their core; this is a real requirement, not a nice-to-have.</p></li><li><p><strong>Strong software engineering.</strong> 3+ years across dynamically and statically typed languages (e.g. Python plus C++/C#), with sharp problem-solving skills.</p></li><li><p><strong>Computer Graphics / Game development / 3D foundations.</strong> Hands-on experience in game development, 3D geometry, rendering, fluid simulations, CUDA/GPU programming, or similar. This is a headline requirement, not a bonus.</p></li><li><p><strong>Production experience.</strong> You've built or maintained systems running under heavy load.</p></li></ol><p style="min-height: 1.7em;"></p><p>Nice to have</p><ul><li><p>CAD system development experience; CNC / mechanical industry exposure.</p></li><li><p>ML industrialization: ONNX, quantization, Docker, MLOps practices, automated model training and deployment.</p></li><li><p>Large-dataset work: processing, clustering, filtering, indexing, and querying; statistical testing and outlier analysis.</p></li><li><p>Cloud services (AWS/Azure), SQL and NoSQL databases, full-stack experience (e.g. Angular).</p></li></ul><h3></h3><p style="min-height: 1.7em;"></p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Imnoo AG’s official page.
  4. 4 Submit as early as possible — many close once filled.
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