Software Development

Lettria

11-50

Full-time (permanent)

France

Lettria is on a mission to help organizations **turn unstructured information into smart decisions.**

After 3 years of R&D, the team has developed the ultimate no-code platform for text. Our framework sets your whole team up for success by giving you data expert tools without needing to be a data expert to use.

You can fine-tune your NLP (Natural Language Processing) project specs without starting from scratch and without writing a single line of code!

Created in 2019, Lettria has now achieved some key milestones :

*   A team of **15 complementary profiles** in linguistics, algorithmic, data science and software engineering.
*   Renowned clients in production (La Poste, Total, Assemblée Nationale, AP-HP)
*   5M € raised from Tier-1 investors and business angels

💡 If you don’t know anything about NLP, no need to worry. You’ll find all the relevant information on our website.

## Tasks

The API and platform we have built at Lettria benefits from the latest advances in Natural Language Processing. As a Data scientist, you will have the opportunity to build models on various tasks to help Lettria achieve its goal of human language structuration.

**You'll operate on various topics :**

*   Improve Lettria’s products on the whole pipeline using state-of-the-art techniques.
*   Participate in clients' projects and design adequate solutions to solve various business problems.

## Requirements

**Required skills :**

*   You have a very good knowledge of Python and are used to code (model conception, model training and model evaluation, unit tests, production launch)
*   You are proficient with deep learning frameworks such as Pytorch.
*   You have demonstrable experience implementing ML/DL models from scratch.
*   You have some exposure to Natural Language Processing.
*   You are good at communicating complex ideas.
*   You have experience implementing research papers.
*   You’re autonomous, rigorous, and a team player :-)

**Preferred skills :**

*   You have experience using advanced techniques in unsupervised learning and graph learning
*   You have experience using cutting-edge NLP models such as Transformers (BERT, XLM-R, ...)

## Benefits

*   **Well-balanced working environment** : 50% remote / 50% on-site (cool offices in Paris). There’s nothing better than getting together around a meal or a drink to learn more about each other :-)
*   **100% reimbursement of your health insurance** (Alan) and **meal voucher** (Swile) to explore all the cool restaurants nearby
*   **7-week holiday policy**
*   50% reimbursement of your transport pass

At Lettria we value your time and we make sure the process is as fluid as possible.

*   45 minutes Job-Fit interview with Côme, our Data-Science Manager
*   Case study
*   Video call with the founders and/or team to validate the cultural fit.
*   If needed, a Q&A call to go over any remaining questions.

Master degree completed

Internship

Entry level

Lettria is on a mission to help organizations turn unstructured information into smart decisions.
After 3 years of R&amp;D, the team has developed the ultimate no-code platform for text. Our framework sets your whole team up for success by giving you data expert tools without needing to be a data expert to use.
You can fine-tune your NLP (Natural Language Processing) project specs without starting from scratch and without writing a single line of code!
Created in 2019, Lettria has now achieved some key milestones :
<ul>
<li>A team of 15 complementary profiles in linguistics, algorithmic, data science and software engineering.</li>
<li>Renowned clients in production (La Poste, Total, Assemblée Nationale, AP-HP)</li>
<li>5M € raised from Tier-1 investors and business angels</li>
</ul>
💡 If you don’t know anything about NLP, no need to worry. You’ll find all the relevant information on our website.
<h2 id="tasks">Tasks</h2>
The API and platform we have built at Lettria benefits from the latest advances in Natural Language Processing. As a Data scientist, you will have the opportunity to build models on various tasks to help Lettria achieve its goal of human language structuration.
You&#39;ll operate on various topics :
<ul>
<li>Improve Lettria’s products on the whole pipeline using state-of-the-art techniques.</li>
<li>Participate in clients&#39; projects and design adequate solutions to solve various business problems.</li>
</ul>
<h2 id="requirements">Requirements</h2>
Required skills :
<ul>
<li>You have a very good knowledge of Python and are used to code (model conception, model training and model evaluation, unit tests, production launch)</li>
<li>You are proficient with deep learning frameworks such as Pytorch.</li>
<li>You have demonstrable experience implementing ML/DL models from scratch.</li>
<li>You have some exposure to Natural Language Processing.</li>
<li>You are good at communicating complex ideas.</li>
<li>You have experience implementing research papers.</li>
<li>You’re autonomous, rigorous, and a team player :-)</li>
</ul>
Preferred skills :
<ul>
<li>You have experience using advanced techniques in unsupervised learning and graph learning</li>
<li>You have experience using cutting-edge NLP models such as Transformers (BERT, XLM-R, ...)</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Well-balanced working environment : 50% remote / 50% on-site (cool offices in Paris). There’s nothing better than getting together around a meal or a drink to learn more about each other :-)</li>
<li>100% reimbursement of your health insurance (Alan) and meal voucher (Swile) to explore all the cool restaurants nearby</li>
<li>7-week holiday policy</li>
<li>50% reimbursement of your transport pass</li>
</ul>
At Lettria we value your time and we make sure the process is as fluid as possible.
<ul>
<li>45 minutes Job-Fit interview with Côme, our Data-Science Manager</li>
<li>Case study</li>
<li>Video call with the founders and/or team to validate the cultural fit.</li>
<li>If needed, a Q&amp;A call to go over any remaining questions.</li>
</ul>

NLP Data-Scientist [Internship]

Less than 1 year

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