Forward Deployed Machine Learning Engineer, Mistral AI
Applied AI for Critical and Sovereign Institutions
+ Equity
More information about location
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
+ 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
$548m
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
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 97 more jobs at Mistral AI