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Executive Assistant to the VP Engineering - Paris

Mistral AI

Executive Assistant to the VP Engineering - Paris

Mistral AI

Paris

·

On-site

·

Full-time

·

1w ago

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

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About Mistral AI

Mistral AI

Mistral AI

Series B

Mistral AI is a French artificial intelligence company that develops and provides large language models and AI solutions. The company focuses on creating efficient and powerful AI models for various applications.

51-200

Employees

Paris

Headquarters

$6.0B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.5

Culture

3.5

Career

3.5

Management

3.5

80%

Recommend to a Friend

Pros

European-based AI solution

Supports digital sovereignty

EU-based alternative to geofenced AI models

Cons

No specific cons mentioned

Limited feedback available

Insufficient review data

Salary Ranges

38 data points

Senior/L5

Senior/L5 · Solution Architect

1 reports

$241,500

total / year

Base

$210,000

Stock

-

Bonus

-

$241,500

$241,500

Interview Experience

7 interviews

Difficulty

3.6

/ 5

Duration

21-35 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Coding Round

4

ML Theory Assessment

5

LLM Systems/Design Interview

6

Project Deep Dive

7

Technical Interview

Common Questions

Coding/Algorithm

ML Theory

System Design

LLM Systems Design

Project Experience