<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>fe6b2de2-36b</externalid>
      <Title>AI Scientist</Title>
      <Description><![CDATA[<p>About Mistral</p>
<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>
<p>We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Research and develop novel methods to push the frontier of large language models</li>
<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>
<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>
<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>
</ul>
<p><strong>About You</strong></p>
<ul>
<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>
<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>
<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>
<li>You are a self-starter, autonomous and a team player</li>
</ul>
<p>Now, it would be ideal if</p>
<ul>
<li>You have hands-on experience with training large transformer models in a distributed fashion</li>
<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>
<li>You have a strong publication record in a relevant scientific domain</li>
<li>Audio/Speech experience - audio input/out, NLP</li>
</ul>
<p><strong>What We Offer</strong></p>
<ul>
<li>Competitive salary and bonus structure</li>
<li>Generous Equity</li>
<li>Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)</li>
<li>Pension: 401K (6% matching)</li>
<li>PTO: 18 days</li>
<li>Transportation: Reimburse office parking charges, or $120/month for public transport</li>
<li>Coaching: we offer Betterup coaching on a voluntary basis</li>
<li>Sport: $120/month reimbursement for gym membership</li>
<li>Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)</li>
<li>Visa sponsorship</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, large language models, distributed systems, MLOps, training large transformer models, fine-tuning, evaluation and deployment, audio input/out, NLP</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral</Employername>
      <Employerlogo>https://logos.yubhub.co/mistral.ai.png</Employerlogo>
      <Employerdescription>Mistral develops models for the enterprise and for consumers, focusing on delivering systems which can integrate into our daily lives.</Employerdescription>
      <Employerwebsite>https://www.mistral.ai/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/7b20d2c8-d5a7-4efd-a13e-05d920ec5985</Applyto>
      <Location>Palo Alto</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>6ef094ae-1e3</externalid>
      <Title>AI Scientist - Paris/London - Onsite or Hybrid or Remote</Title>
      <Description><![CDATA[<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>
<p>We are hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.</p>
<p>Responsibilities:</p>
<ul>
<li>Research and develop novel methods to push the frontier of large language models</li>
<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>
<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>
<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>
</ul>
<p>About you:</p>
<ul>
<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>
<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>
<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>
<li>You are a self-starter, autonomous and a team player</li>
</ul>
<p>Now, it would be ideal if:</p>
<ul>
<li>You have hands-on experience with training large transformer models in a distributed fashion</li>
<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>
<li>You have a strong publication record in a relevant scientific domain</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Competitive cash salary and equity</li>
<li>Food: Daily lunch vouchers</li>
<li>Sport: Monthly contribution to a Gympass subscription</li>
<li>Transportation: Monthly contribution to a mobility pass</li>
<li>Health: Full health insurance for you and your family</li>
<li>Parental: Generous parental leave policy</li>
</ul>
<p>France:</p>
<ul>
<li>Competitive cash salary and equity</li>
<li>Food: Daily lunch vouchers</li>
<li>Sport: Monthly contribution to a Gympass subscription</li>
<li>Transportation: Monthly contribution to a mobility pass</li>
<li>Health: Full health insurance for you and your family</li>
<li>Parental: Generous parental leave policy</li>
</ul>
<p>UK:</p>
<ul>
<li>Competitive cash salary and equity</li>
<li>Insurance</li>
<li>Transportation: Reimburse office parking charges, or 90GBP/month for public transport</li>
<li>Sport: 90GBP/month reimbursement for gym membership</li>
<li>Meal voucher: £200 monthly allowance for its meals</li>
<li>Pension plan: SmartPension (percentages are 5% Employee &amp; 3% Employer)</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, PyTorch, JAX, Rust, Go, Java, Ray, Kubernetes, training large transformer models in a distributed fashion, MLOps stack, fine-tuning, evaluation and deployment</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral</Employername>
      <Employerlogo></Employerlogo>
      <Employerdescription>Mistral develops models for the enterprise and for consumers, focusing on delivering systems which can integrate into our daily lives.</Employerdescription>
      <Employerwebsite>https://www.mistral.ai/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/675b7f06-a76b-4144-af0c-4dd3282ef489</Applyto>
      <Location>Paris</Location>
      <Country></Country>
      <Postedate>2026-03-10</Postedate>
    </job>
  </jobs>
</source>