Forward Deployed Machine Learning Engineer, Mistral AI
Applied AI for Critical and Sovereign Institutions
+ Equity
More information about location
Generative AI model developers
Open for applications
Generative AI model developers
501-1000 employees
Open for applications
+ Equity
More information about location
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- Fluent in English
- PhD or Master's in AI, Machine Learning, Computer Science, or related field
- 2+ years of experience in AI/ML
- Proven track record of leading teams to deliver complex AI projects from prototyping to production
- Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale
- Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus
- Strong software engineering skills: API design, backend/full-stack development, system architecture
- Excels in technical communication with technical and non-technical audiences, including executives
- Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.
Desirable
- Have experience with React or other frontend frameworks
- Have experience with Deep Learning in PyTorch
- Contributed to open-source projects in the LLM or AI space
- Have experience in customer-facing roles with a focus on enterprise AI adoption
What the job involves
- Mistral AI is seeking an Applied AI Engineer to join this team
- You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions
- Your work will directly contribute to projects with significant societal and operational impact
- Individually deploy AI solutions into production for use cases with significant operational and strategic impact
- Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers
- Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning
- Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders
- Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance
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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