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Mistral AI
Mistral AI
201 – 500 Employees
Artificial IntelligenceEnterpriseSaaS
Mistral AI develops frontier large language models and generative AI systems for organizations building intelligent applications and agents. Its product portfolio spans Vibe for AI-assisted long-horizon work and coding, Studio for creating and operating agents and applications, Forge for training and evaluating custom models, and Compute for model training and inference infrastructure. The company also provides APIs, specialized models, enterprise customization, deployment services, and industry solutions across areas such as finance, the public sector, manufacturing, energy and utilities, and transportation. Mistral AI supports both cloud-hosted and self-hosted deployments, with a focus on privacy-conscious enterprise use and tailored AI solutions.
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Forward Deployed Machine Learning Engineer, Applied AI

Deploy Mistral AI’s end-to-end solutions for enterprise customers, from LLM applications and model fine-tuning to production integrations. Partner with customers and internal research, engineering, and product teams to deliver advanced AI use cases.

USUnited StatesCACaliforniaNYNew YorkHybridFull-timeJuniorMiddleEnglish RequiredMachine Learning Engineer
PythonPyTorch

Description

  • Onboard customers to Mistral AI products and APIs.
  • Advise customers on prompting, evaluation, and model fine-tuning.
  • Support reliable production integration across backend and frontend interfaces.
  • Build advanced generative AI applications for consumer and industrial use cases.
  • Help move high-impact AI applications into production across multiple industries.
  • Partner with researchers, AI engineers, and product engineers on complex customer engagements.
  • Contribute to LLM fine-tuning, advanced applications, inference systems, and open-source codebases.
  • Join pre-sales discussions to understand customer needs and technical challenges.
  • Provide technical direction and explain Mistral technologies to stakeholders.
  • Work with product and science teams to improve products and model capabilities using customer feedback.
  • Manage ongoing relationships with CEOs, CTOs, data scientists, and software engineers.

Requirements

  • Fluent in English.
  • PhD or master’s degree in artificial intelligence or data science.
  • At least two years of experience as a technical individual contributor, such as a data scientist or software engineer, working on AI-based products.
  • Experience fine-tuning LLMs and developing advanced RAG or agentic applications.
  • Strong understanding of the concepts and algorithms underlying machine learning and LLMs.
  • Experience building and deploying LLM or NLP applications.
  • Demonstrated experience implementing AI or machine learning products with APIs, backend systems, and frontend interfaces.
  • Strong Python programming skills.
  • Experience applying deep learning with PyTorch.
  • Experience with agent frameworks such as LangChain and vector databases.
  • Strong communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
  • Open-source contributions related to LLMs are preferred.
  • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager is preferred.

Benefits

  • Healthcare coverage.
  • Parental leave.
  • Retirement plans.
  • Relocation support.
  • Wellness programs.
  • Meal allowances.
  • Transportation allowances.
  • Other location-specific perks.
  • Visa transfer and relocation assistance.

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