Open SourcePythonPyTorchAIMachine LearningDeep LearningNLPGenAILLMRAGLangChainAgenticCommunicationCollaborationSales
About this role
Role Overview
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
Requirements
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
Tech Stack
Open Source
Python
PyTorch
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)