Machine Learning Computer Graphics Engineer (remote partfull time) JuniorMidSenior

Geometry with consequences. Deep learning on 3D CAD data where correctness translates into steel and aluminum not pixels.

The ultimate tinkerers playground. Physical machines shop floors and modern cloud architectures all in one stack.

Tangible impact. Your work feeds the data pipelines that power our AI quoting and calculation engines. Factories operate differently because of what you ship.

High autonomy. A fragmented industry full of unsolved problems and the freedom to prototype test and deploy your own solutions end-to-end.

What youll do:

1. Develop advanced feature-extraction and data-processing solutions for 3D CAD 2D and batch data feeding our machine learning systems.

2. Build train and industrialize deep learning models that understand geometry and drive our quoting calculation and optimization engines.

3. Enhance and extend our 2D/3D/CAD tools and geometry solutions.

4. Design engineer and own cloud services APIs and automated model training/deployment from proof of concept to production under real load.

5. Go deep across interconnected cloud data computer vision and ML services spanning multiple languages and platforms.

For over 10 years at Imnoo at Imnoo we are bridging the gap between applied artificial intelligence and heavy industrial machinery.

Imnoo is sustainability focused creating real value as well as a profitable company with stable base.

We arent 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.

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 wont 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.

1. Machine learning / deep learning experience. Real development experience or serious projects: building training and shipping models (PyTorch PyTorch Lightning scikit-learn or similar) not just coursework or library calls.

2. Strong mathematical understanding. Linear algebra geometry statistics probability. Our problems are mathematical at their core; this is a real requirement not a nice-to-have.

3. Strong software engineering. 3 years across dynamically and statically typed languages (e.g. Python plus C/C#) with sharp problem-solving skills.

4. Computer Graphics / Game development / 3D foundations. Hands-on experience in game development 3D geometry rendering fluid simulations CUDA/GPU programming or similar. This is a headline requirement not a bonus.

5. Production experience. Youve built or maintained systems running under heavy load.

Nice to have

• CAD system development experience; CNC / mechanical industry exposure.

• ML industrialization: ONNX quantization Docker MLOps practices automated model training and deployment.

• Large-dataset work: processing clustering filtering indexing and querying; statistical testing and outlier analysis.

• Cloud services (AWS/Azure) SQL and NoSQL databases full-stack experience (e.g. Angular).