About Skypher
Skypher is a fast-growing Y Combinator backed start-up based in New York and Paris. We revolutionize cybersecurity compliance for tech companies by employing Large Language Models (LLMs), GenAI and our proprietary NLP technology to automate complex compliance processes.
We're proud to work with the most innovative tech companies in Silicon Valley and Europe, including Adobe, Deel, Retool, TeamViewer, CMA CGM or Swile. If you have an appetite for making a significant impact and assisting in the building of the next Cybersecurity giant, Skypher is the right fit for you.
Skypher is funded by top investors such as Y Combinator, Kima Ventures, and several well-connected Business Angels. By joining Skypher, you will be a part of the Y Combinator network, the world's leading accelerator based in Silicon Valley. With our presence in both France and the US, you will have the chance to engage with the most innovative tech companies in the Bay area and Silicon Valley, our esteemed clients.
This job offering is based in Paris, but we are open to remote work.
Opportunity
As a data science intern you will work closely with our machine learning engineer and our engineering team. Your primary responsibilities will include:
- Work on Retrieval Augmented Generation (RAG) pipeline
- Fine-tune Large Language Models (LLM) on specific tasks
- Design and develop data extraction models using machine learning algorithms and/or statistical techniques
- Design and implement new machine learning features within our software, contributing to enhanced functionality and performance
- Write production model code and implement good practices (clean code, tests)
Must:
- Ongoing or finished Bachelor or Master’s Degree in a quantitative discipline (Statistics, Data Science, Computer Science …) or at least in second year of an engineer school (BAC+4).
- You have experience with Python and you are familiar with machine learning techniques and Natural Language Processing (NLP)
- You are interested in or want to learn more about cybersecurity and how it is implemented in innovative tech companies
- Proficient in English
Nice to have:
- Experience with versioning tool such as Git
- Experience with containerisation such as Docker
- Experience with NoSQL database
- Experience with Cloud platform and CI/CD process, AWS is a plus
What we look for :
- Creative
- Rigorous
- Appetency for Research
- Strong team spirit
- Autonomy (although, if you are stuck, we are here!)
Perks & Benefits
- Meal Voucher (Swile)
- Partial remote - up to two days
Hiring process
- Initial call / meeting
- Technical data science take-home
- Technical interview with our machine learning team (including test debriefing & live coding exercise)
- Final fit interview
The whole process should take no longer than 2 weeks.
Email us at jobs@skypher.co to apply!
