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Research Engineer - Tokenizer & Protocols

Mistral.aiParis, FranceFull-timeSalary not listed · Typical pay in FrancePosted Nov 13, 2026

Mistral.ai is hiring for the position of Research Engineer - Tokenizer & Protocols in Paris, France. The listing describes it as a full-time position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Mistral.ai is hiring for the position of Research Engineer - Tokenizer & Protocols in Paris, France. The listing describes it as a full-time position.

The advert names Python as a skill for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Benefits mentioned in the advert: pension or retirement plan, parental leave and relocation support.

Visa sponsorship is not mentioned. Applicants from outside France should check the official work permit route before applying.

Dev Global Jobs found this job on Arbeitnow on Nov 13, 2026.

Employer
Mistral.ai
Location
Paris, France
Job type
Full-time
Pay
Not stated by the employer
Found
Nov 13, 2026 on Arbeitnow
Employer text
470 words, about 2 min to read
Skills named in the advert
Python
Before you apply
  • Apply only on the official page (arbeitnow.fr). Dev Global Jobs is not the employer and never asks for a fee.
  • Mirror the skills the advert names (Python) in your CV where you really have them; applicant tracking systems look for these words.
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DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 14, 2026
Pay benchmark
Average wage, France
EUR 44,304 average / year

Source: OECD Average annual wages, 2025

Cost of living · Paris
85.7 vs New York = 100

UN living-cost index for Paris (ICSC post adjustment 50.5), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Talent Passport: Qualified employees, researchers, artists, investors; multi-year permit
  • Employee (salarié) visa: Employer work authorisation from the labour office
  • Temporary worker visa: Contracts under 12 months
Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

01About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

02About the role

Between a conversation and a model sit the formats and tokenizers that every part of our stack relies on. You will help own them, and the tooling around them, so that training, evaluation and production all speak exactly the same language.

You will work across the entire stack, spanning pretraining, post-training and deployment, and your decisions will reach every model we ship.

03What you will do

  • Design, build and maintain core libraries for tokenization and model interfaces.

  • Evolve our formats and tokenizers as models and use cases change.

  • Turn research needs into robust, shared tooling.

04What we're looking for

  • Strong software engineering background, with excellent Python.

  • Excellent understanding of tokenizers: BPE and other tokenization algorithms, special tokens, chat templates, and tokenizer training; ideally hands-on experience with libraries such as tiktoken or Hugging Face tokenizers.

  • Experience building production-grade libraries used by many people.

  • A taste for correctness and attention to detail.

  • Good knowledge of how LLMs are trained and served.

  • Clear communication, low ego, and a collaborative mindset.

  • Nice to have

  • Open-source maintenance experience.

  • Experience with inference engines.

05Location and remote

This role is primarily based at one of our European offices (Paris and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting, currently France & UK. In that case, we ask all new hires to visit our local office for the first week of their onboarding (accommodation and travelling covered), then at least 4 days per month

06What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

07Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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