Mistral AI

Applied AI, Forward Deployed Machine Learning Engineer

Mistral AI

full-time

Posted on:

Location Type: Hybrid

Location: Montreal • Canada

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Tech Stack

Open SourcePythonPyTorch

About the role

  • 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
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
fine tuning LLMsmachine learningNLP applicationsPythondeep learningPytorchAPIsback-end interfacesfront-end interfacesRAG
Soft Skills
communication skillstechnical guidancecollaborationproblem-solvingcustomer engagement
Certifications
PhD in AIMaster in Data Science