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About
Graybox is an early-stage MLOps startup building a model training solution for deep neural networks.
Our goal is to create a platform that simplifies the experimentation process, making it easier, faster, and more cost-effective for any AI developer.
We are an international team split between Paris and Zurich.
Job Description
Why Join Us? Push the boundaries of AI and build something remarkable at Graybox. We’re pioneering ultra-efficient deep learning, developing neural networks 10x smaller and faster than today's state-of-the-art.
What You'll Do
Preferred Experience
Graybox is an early-stage MLOps startup building a model training solution for deep neural networks.
Our goal is to create a platform that simplifies the experimentation process, making it easier, faster, and more cost-effective for any AI developer.
We are an international team split between Paris and Zurich.
Job Description
Why Join Us? Push the boundaries of AI and build something remarkable at Graybox. We’re pioneering ultra-efficient deep learning, developing neural networks 10x smaller and faster than today's state-of-the-art.
What You'll Do
- 40% Engineering: Develop innovative code, test, and iterate features for our proprietary MLOps platform.
- 60% Research & Experimentation: Explore cutting-edge papers, run impactful experiments, and analyze results.
- Develop compact, high-performance neural networks for 2D object detection (KITTI, COCO, Pascal VOC).
- Create PyTorch layer wrappers and optimize dynamic hyperparameters during training.
- Manage datasets and implement interpretability methods.
- Benchmark and experiment with computer vision tasks (ImageNet, CIFAR100, YOLO).
- Enthusiastic learners proficient in Python.
- Passionate communicators fluent in English.
- People who like bullet points after bold titles
- Flexibility in location, time commitment, and project scope.
- Opportunity for conversion to a full-time role in an innovative environment.
- Exciting projects you’ll definitely brag about.
- Experience with PyTorch, UI/JavaScript, mathematics, curiosity, and imagination.
Preferred Experience
- Experience with Training Deep Neural Networks in PyTorch / Tensorflow
- Familiarity with Experiment Management Solutions (es. Weights & Biases)
- Contract Type: Internship (Between 3 and 12 months)
- Location: Paris
- Experience: > 6 months
- Possible partial remote
Key Skills
Ranked by relevance
neural networks
pytorch
mlops
ai
computer vision
deep learning
2d
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- Posted
- Jul 26, 2025
- Type
- Internship
- Level
- Internship
- Location
- Paris
- Company
- STATION F
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
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SENIOR BACKEND ENGINEER (FRANCE OR MADRID)
2026-05-25
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Not Applicable
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Technology
Engineering
View Job Details
Related
Devops Engineering Intern
2026-05-27
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Engineering
View Job Details
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Android Engineer | Mid-Senior
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