AI ML Engineer
Docusketch
About this role
## AI/ML Engineer ### About DocuSketch DocuSketch is a fast-growing European SaaS company with European headquarters in Potsdam, Germany. We provide leading software technology for the digital real estate economy. Our products—**Immoviewer** and **DocuSketch**—help real estate and building restoration companies digitize, visualize, and virtualize properties, enabling cost savings, process optimization, and revenue growth. You’ll join a team driving the company’s AI development, working on algorithms for multiple use cases, such as: - Using **equirectangular, phone, or satellite images** to detect **doors, windows, and other objects** inside buildings - Finding **roof facets** using 3D perception - Solving **complex 3D geometry** problems - Collaborating closely with the **labeling team** to ensure high data quality ### Responsibilities - Research, train, and deploy **state-of-the-art machine learning models** for: - **Object detection** - **3D perception** on equirectangular images - Rapidly prototype new ideas/technologies to build **proofs of concept** and **demos** ### Qualifications - **Bachelor’s degree** in Computer Science (or equivalent experience) - **Excellent math skills** - Experience with **3D computer vision algorithms** - Preferably **5+ years** of experience developing and training ML models - Strong experience with **Deep ML frameworks (PyTorch)** - Strong experience with **Python** - Self-motivated, energetic team player with a strong work ethic - Excellent **communication** and **organizational skills** ### Plus - Familiarity with **big data systems** - Experience training **very large models** using **multiple GPUs in the cloud** - Experience training ML models on **equirectangular images** ### Location / Work Model - **Remote** within Europe (outside **Russia, Belarus, and Ukraine**) - Headquarters: **Berlin, Germany** - Other offices: **Belgrade (Serbia)**, **Lakeland (Florida)**, and **Canada** ### Application Note Please mention the word **REGAL** and tag the provided code when applying.
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