Research Engineer, Mistral AI

Salary not provided

Tensorflow

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Palo Alto, CA

Generative AI model developers

Job no longer available

Generative AI model developers

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Job no longer available

Salary not provided

Tensorflow

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Palo Alto, CA

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Company mission

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

Job

Company

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
The team will be located in Paris, London the Bay Area
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.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Jun 2024

$488.4m

SERIES B

Feb 2024

$15.7m

SERIES A

Total funding: $1.0bn

Company benefits

Competitive bonus structure
Equity
Opportunities for professional growth and development

Company HQ

Villette, Paris, France

Articles

Will AI revolutionize patents?

MISTRAL AI - HOW IS A 4 WEEK OLD STARTUP WORTH $240 MILLION?!

France’s Mistral AI blows in with a $113M seed round at a $260M valuation to take on OpenAI

EU Antitrust Chief Margrethe Vestager Says AI Needs ‘Vibrant Competition’

AI startup Mistral launches a 281GB AI model to rival OpenAI, Meta, and Google

Mistral AI Lands Huge $640M Round; AlphaSense Hits $4B Valuation After $650M Raise

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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