채용
복지 및 혜택
•Meals
•Gym
•Commuter
필수 스킬
PyTorch
JAX
Python
Machine Learning
Research
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. Our offerings include le Chat, the AI assistant for life and work.
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.
Role Summary:
Mistral AI is seeking Applied Scientists Interns and Research Engineers Interns to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
This position is open for our local offices in Paris and London.
What you will do
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.
- Manage research projects and communications with client research teams.
About you
- You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
- You’re an expert with Py Torch or JAX.
- You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
- You write clean, readable, high-performance, fault-tolerant Python code.
- You don’t need roadmaps: you just do. You don’t need a manager: you just ship.
- Low-ego, collaborative and eager to learn.
- You have a track record of success through personal projects, professional projects or in academia.
It would be great if
- You are pursuing a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.
- We’d love to have you for at least 3 months, ideally 6 months. We prioritise candidates who are about to finalise their studies.
- You can bring a variety of research experiences, such as working with agents, multi-modality, robotics, diffusion models, or time-series analysis.
- Have contributed to a large codebase used by many (open source or in the industry).
- Have a track record of publications in top academic journals or conferences.
- Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.
- We warmly welcome applicants of every gender, background, and life experience.
Benefits:
💰 Competitive salary
🥕 Food : Daily lunch vouchers
🥎 Sport : Monthly contribution to a Gympass subscription
🚴 Transportation : Monthly contribution to a mobility pass
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고

Alternant - Ingénieur Data scientist F/H
Schneider Electric · GRENOBLE, France

ALT2026 _ Apprenti Science des Données - Application GenAI pour le suivi de l’environnement (h/f)
Airbus · Toulouse Area

Alternant Ingénieur Data Scientist F/H
Schneider Electric · EYBENS, France

Field Application Scientist – Cell Analysis Instruments (m/f/d)
Agilent · France-Dahlia

Analyste
Curtiss-Wright · CW Site - FRA - Neuilly-Sur-Seine - 185-189 avenue Charles de Gaulle
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
·
1
·
1