Applied AI, Forward Deployed Machine Learning Engineer

Mistral
Palo Alto, San Francisco
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: phdSkills: ["Communication"]

Help customers adopt Mistral’s AI products by onboarding them on APIs and guiding prompting, evaluation, and fine-tuning. Deploy production GenAI use cases with measurable business impact across industries, collaborating with researchers and product engineers on advanced LLM and RAG/agentic projects. Support pre-sales technical calls, explain Mistral technologies to technical and non-technical stakeholders, and continuously improve products and models based on customer feedback.

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FursaFursa
Mistral
Mistral
1 month ago

Applied AI, Forward Deployed Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Help customers adopt Mistral’s AI products by onboarding them on APIs and guiding prompting, evaluation, and fine-tuning. Deploy production GenAI use cases with measurable business impact across industries, collaborating with researchers and product engineers on advanced LLM and RAG/agentic projects. Support pre-sales technical calls, explain Mistral technologies to technical and non-technical stakeholders, and continuously improve products and models based on customer feedback.
Location: Palo Alto, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Onboard customers on products and APIs, guiding prompting, evaluation, and fine-tuning for production-ready integration.
  • •Build and deploy GenAI applications and production use cases across consumer and industrial domains.
  • •Collaborate with researchers and AI/product engineers on complex customer projects involving LLMs, fine-tuning, inference, and fine-tuning codebases.
  • •Support pre-sales calls and provide technical guidance to multiple stakeholders, explaining Mistral technologies.
  • •Work with product and science teams to improve product and model capabilities based on customer feedback.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocation SupportWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •Fluent in English.
  • •Hold a PhD or master in AI or data science.
  • •2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
  • •Experience fine-tuning LLMs and building advanced RAG or agentic use cases.
  • •Strong Python coding skills plus experience deploying LLMs/NLP applications and communicating complex concepts to technical and non-technical audiences.
Experience:2+ yearsAIMachine learningGenAINLP
Education:PhD / Doctorate in AI / data science
Skills:Communication
Languages:English
Tech Stack:PythonPyTorchLangChainVector DBsLLMsNLPRAGAgentsAPIsDeep learning

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn