Research Engineer, Mistral AI

Salary not provided
Tensorflow
PyTorch
Junior, Mid and Senior level
London
Paris
Mistral AI

Generative AI model developers

Be an early applicant

Mistral AI

Generative AI model developers

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Be an early applicant

Salary not provided
Tensorflow
PyTorch
Junior, Mid and Senior level
London
Paris

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Company mission

To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.

Role

Who you are

  • Master’s in computer science (or equivalent) or ideally a Phd
  • Background in research and have a previous experience working in a lab Experience with deep learning, natural language processing, LLMs
  • Hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax)
  • Have experience working with large distributed systems
  • Self-starter and autonomous
  • Low-ego
  • Collaborative and have a real team player mindset

What the job involves

  • As a Research Engineer here, you will be responsible for building our AI systems
  • Working hand in hand with our science team, you will help us accelerate research
  • Help accelerate researchers by taking on more complex part of pipelines and building appropriate tools
  • Help interface our research with the products we build
  • Conduct research on the latest AI and machine learning technologies
  • Develop and implement AI models and algorithms, designing and executing the required experimental protocols
  • Write simple and efficient machine learning code
  • Develop prototypes and proof-of-concept models for AI applications
  • Our Research engineering team is embedded in our Science team
  • 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.

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Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

Company

Funding (last 2 of 4 rounds)

Jun 2024

$515.5m

SERIES B

Feb 2024

$16.6m

SERIES A

Total funding: $1.1bn

Company benefits

  • Competitive bonus structure
  • Equity
  • Opportunities for professional growth and development

Company HQ

Villette, Paris, France

Leadership

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

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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