Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto

About The Job

Mistral AI is seeking an 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, 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.

• Onboard 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.
• Work on state‑of‑the‑art GenAI applications from consumer products to industrial use cases, driving a crucial technological transformation with our customers.
• Help deploy production use cases with a considerable business impact across various industries.
• Collaborate with 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.
• Be involved in pre‑sales calls to understand potential clients’ needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Collaborate with our product and science team to continuously improve our product and model capabilities based on customer feedback.

• Fluent in English.
• Hold a PhD / master in AI / data science.
• Have 2+ years as a technical individual contributor (data scientist or software engineer) on AI‑based products.
• Experience in fine‑tuning LLMs, tackling advanced RAG or agentic use cases.
• Deep understanding of concepts and algorithms underlying machine learning and LLMs.
• Experienced with building and deploying LLMs or NLP applications.
• Proven experience in AI or machine learning product implementation with APIs, back‑end and front‑end interfaces.
• Strong technical coding skills in Python.
• Experience with deep learning with PyTorch.
• Experience with agents framework such as Lang Chain, vector DBs.
• Strong communication skills with an ability to explain complex technical concepts in simple terms to 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.

• Competitive salary and bonus structure
• Generous Equity
• Health:
  Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
• 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
• Gym membership reimbursement: $120/month
• Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
• Visa sponsorship