Talent Acquisition, Research

Mistral AI

. Build and scale Mistral's US-based research and engineering teams .

Posted 9/18/2026full-timeRemote • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-cycle recruitment for Research Science and Research Engineering roles, leveraging a deep network in US talent markets and a strong understanding of AI/ML. Capable of shaping recruitment strategies, driving efficient hiring processes, and influencing stakeholders effectively.

Highest-signal resume keywords

Full-Cycle RecruitmentResearch Science RecruitmentResearch Engineering RecruitmentAI/ML CredibilityModern Recruiting Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical Recruitment StrategyMarket MappingCandidate SourcingInterview Rubric StandardizationData-Driven Pipeline Management

Soft Skills

Strong Communication SkillsOrganized and Detail-OrientedAbility to Influence PeersComfort with AmbiguityStrategic Planning and Execution

Tools & Technologies

Ashby

Industry Keywords

US Research TalentHigh-Growth EnvironmentCompetitive Hiring MarketsFrontier ModelsOpen-Source Community Engagement

Tech Stack

Tools & technologies

Switching

About the role

Key responsibilities & impact

Build and scale Mistral's US-based research and engineering teams
Shape technical recruitment strategy and operations
Partner with Research leadership across Research Science, Research Engineering, and adjacent technical functions
Partner with technical leaders and hiring managers to understand hiring needs, define role specifications, and identify technical talent
Own full-cycle recruitment across Research Science and Research Engineering
Advise hiring managers on market mapping, leveling, compensation positioning, and the competitive landscape
Translate technical-role nuances into compelling candidate outreach
Source passive and active candidates across US research and engineering talent pools
Conduct intake and calibration sessions with hiring managers
Drive efficient, high-conversion pipelines and close candidates
Guide candidates through the hiring process and communicate Mistral's mission, culture, and trajectory
Explain Mistral's AI positioning, frontier models, open-weight philosophy, and research credibility
Provide insight into the research agenda, compute access, publication culture, and role impact
Develop and refine technical recruiting processes, tools, and documentation
Use data to diagnose pipeline issues and propose targeted solutions
Build and maintain market maps, competitive intelligence, and talent pools
Standardize technical interview rubrics, scorecards, and debrief practices
Collaborate with Research leadership and the broader Talent team to elevate hiring standards
Contribute to US technical talent acquisition strategy
Partner on employer-brand and outbound sourcing initiatives, including academic pipelines, conference presence, and open-source community engagement

Requirements

What you’ll need

6+ years of recruiting experience
2+ years in a startup or high-growth environment
Focus 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
Deep network and sourcing expertise in US research and engineering talent markets
Credibility in AI/ML and ideally connections across top labs and universities
Track record of hiring in competitive, candidate-scarce markets
Experience working across multiple US markets, including relocation and visa-driven hiring
Willingness to work on other roles as needs arise
Comfort navigating ambiguity and switching between strategic planning and hands-on execution
Strong written and verbal communication skills
Ability to influence peers and senior technical stakeholders without direct authority
Organized and detail-oriented; able to juggle shifting priorities across a high-volume hiring slate
Professional experience with modern recruiting tools such as Ashby
Familiarity with the AI/ML research landscape
Ability to credibly discuss frontier model capabilities, research directions, and publications with technical candidates

Benefits

Comp & perks

Healthcare coverage
Parental leave
Retirement plans
Relocation support
Wellness programs
Meal allowances
Transportation allowances
Other location-specific perks