Machine Learning Engineer, Mistral AI
Generative AI model developers
Be an early applicant
Generative AI model developers
101-200 employees
Be an early applicant
101-200 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- Master's degree in Computer Science, Machine Learning, Data Science, or a related field
- Expert programming skills in PythonMLOps or FullStack + ML experience
- Proficiency in frameworks like PyTorch or TensorFlow
- Adaptable, proactive and autonomous
- Attention to detail and a drive to go the last mile to build almost perfect tools
- Deep understanding of machine learning approaches and algorithms
- Low-ego
- Collaborative and have a real team player mindset
Desirable
- Experience with training and fine-tuning large language models (e.g., distillation, supervised fine-tuning, policy optimization)
- Worked with LLMs
- Worked with research teams before
What the job involves
- You will be in charge of deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions
- Create and maintain tooling and services: both internal facing (research & dogfooding) and external facing (product)
- Collaborate cross-functionally with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions
- Implement and optimize ML pipelines for performance and accuracy, ensuring production readiness and employing cutting-edge technology and innovative approaches
- Our ML Engineering team is embedded in our Product development organization (SWE & Product) team and works very closely with our Science team
- All our engineers can fluidly move on the production / research spectrum depending on where the needs are or where their interests lie
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.
With the upcoming release of Mixtral in 2024, featuring up to 176 billion parameters, Mistral is under pressure to deliver. Mixtral's open-source nature has sparked concerns about potential misuse, yet Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
Recently, Mistral secured a massive $640 million funding round, raising its valuation to $6 billion. This Series A funding, led by General Catalyst and including investors like Lightspeed Venture Partners and Andreessen Horowitz, underscores significant interest in alternatives to ChatGPT.
Freddie
Company Specialist
Insights
Some candidates hear
back within 2 weeks
Company
Funding (last 2 of 4 rounds)
Jun 2024
$523.2m
SERIES B
Feb 2024
$16.8m
SERIES A
Total funding: $1.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Articles
Leadership
Timothee Lacroix
(CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(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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