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Mistral AI

Research Engineer - Tokenizer & Protocols

Mistral AI is hiring a Research Engineer - Tokenizer & Protocols in Paris, France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Hugging Face among its tools and skills.
  • Mistral AI has 237 other open roles on Level.
  • Posted in the last few days.

AI in this role

Hugging Face

About 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.

About 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.

What 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.

What 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.

Location 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

What 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.

Privacy Policy

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

How we rate this

Research Engineer - Tokenizer & Protocols at Mistral AI rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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