M&A Tech Engineer Internship, Mistral AI
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) in a top Engineer school
- You ideally hold a double degree in Business in a top business school
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You are knowledgeable in AI or machine learning product implementation with APIs, back-end and front-end interfaces
- You can read Python code and are familiar with agents framework such as Langchain, vector DBs
- You are curious and knowledgeable about the AI ecosystem and discovering start-ups proposing innovative solutions to tough AI issues
- You are curious about M&A, venture capital, or related fields and willing to transfer your technicals skills into sourcing, evaluating, and executing high-impact deals
- Your strategic mindset allows you to identify opportunities that align with our business objectives and technical vision
What the job involves
- As M&A Tech Engineer, you will be at the forefront of our growth strategy, driving innovation and expansion through strategic acquisitions
- This role combines a strong technical background with strategic vision
- You will be supporting identification and evaluation of M&A opportunities that align with our technical and business goals, impacting Mistral’s ability to innovate and expand our market presence
- You will collaborate with Product, Engineering, Legal, and Finance teams to assess potential acquisition targets from a technical perspective
- By executing on high-potential acquisition opportunities, you will help us enhance our technical capabilities, expand our product offerings, and strengthen our position in the market
- Your work will be instrumental in shaping the future of Mistral AI and driving our mission to democratize AI
- Identify and Evaluate Opportunities:
- Conduct market research in the AI ecosystem to find relevant target companies within our priority acquisition areas
- Evaluate the technical potential of targets’ products and technology as well as their fit with Mistral’s offering
- Conduct Technical Due Diligence:
- Evaluate target’s technology by testing their products and reviewing codebases, architectures and tech stack
- Assess target’s technical team members and structure
- Understand target’s product and engineering roadmap and its scalability
- Work with our engineering team to assess technical synergies and integration path
- Collaborate with Engineering:
- Partner with Tech leads to define and adjust our strategic acquisition categories and criteria
- Pitch the target post your first technical evaluation to Product and Engineering leads
- Provide technical insights to inform investment decisions and integration planning
- Leadership Collaboration:
- Work with our CEO, CTO, and other senior leaders to align M&A strategy with business objectives
- Provide learnings and trends based on M&A exploration of the AI start-up landscape
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$544.2m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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