채용
복지 및 혜택
•Equity
•Meals
•Gym
•401(k)
필수 스킬
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
총 조회수
2
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Mistral AI 소개

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
직원 수
Paris
본사 위치
$6.0B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.5
보상
4.0
문화
4.2
커리어
3.5
경영진
2.3
72%
친구에게 추천
장점
Supportive team environment
Good compensation and benefits
Innovative projects and cutting-edge technology
단점
Poor management and lack of direction
Work-life balance issues and heavy workload
Fast-paced stressful environment
연봉 정보
37개 데이터
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Applied AI Engineer
2개 리포트
$214,500
총 연봉
기본급
$165,000
주식
-
보너스
-
$195,000
$234,000
면접 경험
1개 면접
난이도
3.0
/ 5
소요 기간
21-35주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Presentation
5
Team Matching
6
Offer
자주 나오는 질문
Machine Learning/AI Algorithms
Research Experience
Technical Knowledge
Coding/Implementation
Behavioral/STAR
뉴스 & 버즈
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
·
2w ago
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1
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