Algorithms Engineer – Computer Vision & AI (Applied Research)
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موقع الوظيفة:
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تاريخ النشر:
أمس
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ملخص الوظيفة
Algorithms Engineer Computer Vision & AI (Applied Research)
We help millions of people create homes they love. In 2016 we started as two best friends with a simple idea: how to make it incredibly easy to turn smartphone photos into beautiful wall art. Today we operate multiple product lines with millions of customers including Mixtiles easyplant and Oasis. We love what we do and we love people who are passionate about their craft. If that sounds like you read on.
What youre applying for
We believe your camera roll holds more than just photosit holds your story. Our Algorithms team is driven by a bold vision: to transform how people connect with their visual memories. By developing powerful AI and Computer Vision algorithms we are unlocking the potential for magical experiences across a wide range of products.
This role is designed for someone who thrives on applied research: training models exploring novel approaches and solving complex ML and CV problemsthen bringing those solutions into production at scale. Youll tackle cutting-edge challenges with real-world constraints moving from initial idea to prototype to measurable product impact.
We are a small high-caliber team where everyone owns the full lifecycle from research exploration to production deployment. There is no hand-off culture here: we build we ship we monitor and we improve.
What Youll Do
- Research & Develop: Architect state-of-the-art ML and Computer Vision solutions for large-scale photo understanding.
- Model Engineering: Train fine-tune and evaluate deep learning models tailored for real-world applications.
- Core Problem Solving: Tackle complex algorithmic challenges including classification segmentation retrieval ranking and personalization.
- Iterate at Scale: Run experiments quickly using large datasets rigorous evaluation protocols and best-in-class ML practices.
- Cross-Functional Collaboration: Work closely with engineering and product teams to translate research breakthroughs into production systems.
What Were Looking For
- Advanced Education: . in Computer Science Electrical Engineering or a related field (or equivalent experience).
- Deep Learning Expertise: A strong background in ML and DL with a proven ability to solve complex non-trivial problems.
- CV Fundamentals: A deep understanding of Computer Vision principles and practical experience applying them to real data.
- End-to-End Training: Experience managing the full training pipeline including data curation augmentation evaluation and iteration.
- Coding Proficiency: Strong programming skills and the ability to bridge the gap between research code and production-ready solutions.
Nice to have
- PhD in Computer Science Electrical Engineering or a related field.
- Experience with modern architectures (Transformers ViTs multimodal models diffusion models etc.).
- Background in large-scale and distributed training.
- Experience deploying models to production including optimization monitoring and edge/on-device ML.
Why Join us
- Work on highly challenging ML and CV problems within real-world constraints.
- Ship applied research directly into products used by millions.
- Join a lean high-impact team with significant autonomy and ownership.
- Move fast publish internally and see your work define the user experience.
Interested Apply now or reach out directlylets build something unforgettable together.
Required Experience:
IC
المهارات المطلوبة
- Graphic Design
- إنديزاين
- Camera Projection
- Colour Correction
- Computer Graphics
- Proprietary Software
- Windows
- Coversion Process
- اتجاه الفن
- Visual Effects Management
- Adobe Photoshop
- التدقيق
- مخطط
- AutoDesk Maya
- Matte Painting
عن الشركة
Mixtiles are printed framed pictures that stick to any wall, leave no damage, and can be moved around. The entire experience is super easy - pick your best pics, choose frames, select the style you like, we ship them free right to your door, you stick them to your wall. It’s that easy ... اعرض المزيد
