Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto

Reposted 16 Days Ago
Palo Alto, CA, USA
In-Office
Junior
Artificial Intelligence
The Role
The Applied AI Engineer will onboard customers, guide on product integration, deploy AI solutions, and collaborate with various teams to enhance product capabilities and address client needs.
Summary Generated by Built In
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 
 

Skills Required

  • PhD or master's in AI or data science
  • 2+ years as a technical contributor on AI-based products
  • Experience in Fine Tuning LLMs
  • Strong coding skills in Python
  • Experience with deep learning using Pytorch
  • Strong communication skills
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The Company
HQ: Paris
92 Employees
Year Founded: 2023

What We Do

Fast, open-source and secure language models. Facilitated specialisation of models on business use-cases, leveraging private data and usage feedback. Built from a world-class team in Europe, targeting global market. Join the team ! https://jobs.lever.co/mistral/

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