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More content produced = more content stored. Faced with the challenge of managing this endless stream of new video, photo and audio content, organisations must find a way to scale the indexing and archiving of their media assets, and make them accessible from anywhere at any time.
This is where we - and potentially you - come in.
👉 The Company
Moments Lab is a fast-growing SaaS company on a mission to help content producers build videos faster. The platform makes audiovisual content searchable to reduce the time spent sourcing the key moments required to tell a story.
Powered by MXT, our video indexing technology, Moments Lab provides unprecedented access to content by generating human-like descriptions of videos, thanks to language model, computer vision and audio analysis.
Our technology is used by leading broadcasters, production companies, and media organizations across Europe and the US. Backed by major VCs, we’re scaling rapidly and investing in innovation.
Our team is multicultural, with colleagues from more than 10 countries. We offer flexibility and work-life balance with a modern office in Boulogne, Paris.
Our Values
- 📚 Learning
- 🏢 Customer-obsessed
- 🤝 Mission-driven
- 🤗 Positivity
- 😎 Self-driven
- 👨👩👦👦 Balanced
Missions:
- Implement an MLOps pipeline to industrialize the training and deployment of LORA models on our Machine Learning cloud platform: AWS Sagemaker
- Optimize LORA training by tuning hyperparameters and studying similar methods
- Apply state-of-the-art deep learning models to real use-cases of video understanding using collected and enriched proprietary data
- Engage in cutting-edge research to find best ways to guide a vision-language model (VLM) to answer a prompt based on specific video metadata
Our R&D team is growing as we have more and more challenges to tackle. Especially, we want to industrialize our LORA training pipeline and explore new ideas around video captioning by including specific video metadata.
How is the team organized?
The R&D team works closely with all the product team to deliver core AI features while also spending time on more ambitious long term research ideas. You will be part of a 4-persons AI and research engineering team dedicated to advance video understanding. You can read about the subjects we are working on here: https://research.momentslab.com
Who is the manager?
Your manager will be Khalil Guetari, Machine Learning Engineer working on both long-term research projects and applied AI solutions.
Requirements:
You share our values? We’re looking for these skills:
- 🇬🇧 We’re an international team and use English as our business language, so you must be fluent in English.
- Machine and deep learning: You need to have strong basis on deep learning models and architectures. Experience with LORA’s training and vision-language models would be a plus.
- Software Development: Proficiency in Python, PyTorch, and ability to navigate through open-source libraries and projects such as Hugging Face Transformers. Code quality and a good knowledge of Git is necessary.
- Excellent communication, you have the ability to collaborate with cross-functional teams and influence decision-making.
- Solid organizational skills, including attention to detail and multitasking abilities.
Your first days at Moments Lab will actually be based in the office for onboarding, shadowing and meeting key colleagues.
After that, how you work is up to you. Want to come into the office everyday? No problem. Prefer to work fully remotely? That’s fine too.
Whatever way you choose to work - be it from home, local co-working, a cafe or a mix - all we ask is that you find the working environment that will allow you to feel fulfilled and perform at your best.
That being said, we enjoy meeting in-person a few times a year for both work and play 🥳
Contract details:
- Final-year Master’s internship (M2)
- Contract for a 6 month internship
- We hire in France (Paris based)
- Compensation: €1,400 per month (gross)
- Meal vouchers (Swile)
You will have an interview with two members of your future team, including your manager. We will discuss your past experiences and projects before presenting you the details of your future internship.
🤝 Offer
⏰ We don’t want to leave you hanging, so we aim to take no more than 3 weeks to get to offer stage for this position.
Key Skills
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