채용

Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto
Palo Alto
·
On-site
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Full-time
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2d 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. 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.
About The Job:
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
What you will do
- You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
- You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- You’ll individually help deploy into production use cases with a considerable business impact across various industries.
- You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.
- You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
- Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
About you
- You are fluent in English
- You hold a PhD / master in AI / data science.
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You're experienced with building and deploying LLMs or NLP applications
- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- You have strong technical coding skills in Python
- You have experience with deep learning with Pytorch
- You have experience with agents framework such as Langchain, vector DBs
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
- Contributed to open-source projects in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
Benefits:
💰 Competitive salary and bonus structure 🚀 Generous Equity 🧑⚕️ Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents) 👴🏻 Pension : 401K (6% matching) 🏝️ PTO : 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport 🤝 Coaching: we offer Betterup coaching on a voluntary basis 🏀 Sport: $120/month reimbursement for gym membership 🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger) 🌎 Visa sponsorship
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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
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How France’s Mistral Built A $14 Billion AI Empire By Not Being American - Forbes
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Connect the dots: Build with built-in and custom MCPs in Studio - Mistral AI
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News
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5d 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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