Applied Ai, Forward Deployed Machine Learning Engineer - Palo Alto

Mistral AI

Palo Alto, California, USA
Competitive salary + bonus structure; generous equ...
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Fine tuning llms
Advanced rag or agentic use cases
Building and deploying llms
** Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its AI products, with a focus on customer collaboration from pre-sale to post-implementation phases. The role requires strong technical skills in AI, especially with LLMs, and emphasizes effective communication with diverse stakeholders. **

Job Summary

  • 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.
  • You will 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.
  • Benefits include a competitive salary and bonus structure, generous equity, competitive healthcare, 401K with matching, 18 days PTO, transportation reimbursement, coaching, gym membership reimbursement, and a monthly meal stipend.

Matching Summary

Match Score: 75

** Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its AI products, with a focus on customer collaboration from pre-sale to post-implementation phases. The role requires strong technical skills in AI, especially with LLMs, and emphasizes effective communication with diverse stakeholders. **

Salary

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

Skills & Requirements

Must-have

  • Fine Tuning LLMs
  • advanced RAG or agentic use cases
  • building and deploying LLMs
  • NLP applications
  • AI or machine learning product implementation
  • Python coding skills
  • deep learning with Pytorch
  • agents framework such as Langchain
  • vector DBs

Nice-to-have

  • externalising research in production
  • collaboration with researchers
  • contributing to open source codebases
  • pre-sales technical guidance
  • customer feedback integration
  • open-source LLM contributions

Key Requirements

  • PhD / master in AI / data science
  • 2+ years as a technical individual contributor
  • fluent in English

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter