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Mistral AI

Open-weight LLMs and enterprise AI deployment

Talent Acquisition - Research

Technical RecruitingConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 6 years of recruiting experience, including at least 2 years in a startup or high-growth environment, focused on Research Science and Research Engineering roles.
  • Ability to independently hire across the technical stack, from Research Engineers to Research Scientists and senior research talent.
  • A strong network and sourcing expertise in US research and engineering talent markets, with credibility in AI and machine learning and ideally connections across leading labs and universities.
  • A track record of hiring in competitive, candidate-scarce markets where top researchers have multiple offers.
  • Experience working across multiple US markets, including relocation- and visa-driven hiring.
  • Willingness to support other roles as needs arise.
  • Ability to navigate ambiguity and switch between strategic planning and hands-on execution.
  • Strong written and verbal communication skills, including the ability to influence peers and senior technical stakeholders without direct authority.
  • Organization, attention to detail, and ability to manage shifting priorities across a high-volume hiring slate.
  • Professional experience with modern recruiting tools such as Ashby.
  • Familiarity with the AI and machine learning research landscape and ability to discuss frontier model capabilities, research directions, and publications credibly with technical candidates.

Responsibilities

  • Partner with technical leaders, including Research Scientists, Research Engineers, team leads, and hiring managers, to understand hiring needs, define role specifications, and identify appropriate technical talent.
  • Own full-cycle recruitment across Research Science and Research Engineering, with flexibility to support other technical roles.
  • Advise hiring managers on market mapping, leveling, compensation positioning, and the competitive landscape for US research and engineering talent.
  • Translate the nuances of technical roles into compelling, accurate candidate outreach.
  • Own the recruiting lifecycle from sourcing to close for complex, competitive technical roles.
  • Source active and passive candidates across US research and engineering talent pools, including PhD students and postdocs and experienced researchers and engineers at AI labs, universities, and technology companies.
  • Conduct intake and calibration sessions with hiring managers to align on candidate profiles and interview-stage expectations.
  • Drive efficient, high-conversion recruiting pipelines and close candidates in a competitive research talent market.
  • Guide candidates through the hiring process with clear communication and a compelling account of Mistral's mission, culture, and trajectory.
  • Explain Mistral's position in the AI landscape, including its frontier models, open-weight philosophy, and research credibility, to candidates.
  • Provide candidates with insight into the research agenda, compute access, publication culture, and role impact.
  • Deliver a respectful candidate experience at every stage, regardless of outcome.
  • Develop and refine technical recruiting processes, tools, and documentation to improve outcomes and efficiency.
  • Use data to diagnose pipeline issues, such as stage-specific drop-off and time-to-fill by role, and propose targeted solutions.
  • Build and maintain market maps, competitive intelligence, and talent pools for key US research and engineering segments.
  • Standardize technical interview rubrics, scorecards, and debrief practices across US technical hiring teams.
  • Collaborate with Research leadership and the Talent team to elevate hiring standards.
  • Contribute to defining and evolving the US technical talent acquisition strategy as the research presence scales.
  • Partner on employer-brand and outbound sourcing initiatives, including academic pipelines, conference presence, and open-source community engagement.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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