採用
福利厚生
•Equity
•Meals
•Gym
•401(k)
必須スキル
Python
Software Engineering
AI/Machine Learning
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 as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.
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.
Mistral AI participates in the E-Verify program:
What will you do
- Research and develop novel methods to push the frontier of large language models
- Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
- Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
- Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact
About you
- You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)
- You have hands-on experience with AI frameworks (e.g. Py Torch, JAX) or distributed systems (e.g. Ray, Kubernetes)
- You have high engineering competence. This means being able to design complex software and make it usable in production
- You are a self-starter, autonomous and a team player
Now, it would be ideal if
- You have hands-on experience with training large transformer models in a distributed fashion
- You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment
- You have a strong publication record in a relevant scientific domain
Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity.
Benefits:
💰 Competitive cash salary and equity
🥕 Food : Monthly meal allowance
🥎 Sport : Monthly contribution to a Gympass subscription
💰 Private pension plan
総閲覧数
2
応募クリック数
0
模擬応募者数
0
スクラップ
0
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Mistral AIについて

Mistral AI
Series BMistral 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
従業員数
Paris
本社所在地
$6.0B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.5
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
2.3
72%
友人に勧める
良い点
Supportive team environment
Good compensation and benefits
Innovative projects and cutting-edge technology
改善点
Poor management and lack of direction
Work-life balance issues and heavy workload
Fast-paced stressful environment
給与レンジ
37件のデータ
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Applied AI Engineer
2件のレポート
$214,500
年収総額
基本給
$165,000
ストック
-
ボーナス
-
$195,000
$234,000
面接体験
1件の面接
難易度
3.0
/ 5
期間
21-35週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Presentation
5
Team Matching
6
Offer
よくある質問
Machine Learning/AI Algorithms
Research Experience
Technical Knowledge
Coding/Implementation
Behavioral/STAR
ニュース&話題
Generative AI Platforms - Trend Hunter
Trend Hunter
News
·
5d ago
How France’s Mistral Built A $14 Billion AI Empire By Not Being American - Forbes
Forbes
News
·
5d ago
Connect the dots: Build with built-in and custom MCPs in Studio - Mistral AI
Mistral AI
News
·
6d ago
The OpenAI / TBPN Audit: Why Anthropic’s Next Acquisition Should Be a Regulatory Network
https://preview.redd.it/q7ltkacfu2tg1.jpg?width=3000&format=pjpg&auto=webp&s=261ce6e7090baf84297a882ffa5b7e62f0d09955 # Forensic Audit: OpenAI’s TBPN Acquisition, the Enterprise Trust Gap, and the Dawn of Regulatory Media **Listen to audio at** [**https://enoumen.substack.com/p/the-openai-tbpn-audit-why-anthropics**](https://enoumen.substack.com/p/the-openai-tbpn-audit-why-anthropics) OpenAI just spent hundreds of millions to buy the Silicon Valley narrative. It’s a brilliant cons
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2w ago
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