Research Engineer, Machine Learning

Mistral
Paris, Zurich, Switzerland, Warsaw, London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Self-starter","Collaborative","Low-ego","Software design","Code review","Testing","CI/CD"]

Build and optimize large-scale learning systems that power open-weight models, working closely with Research Scientists. You’ll accelerate research by taking ownership of heavy ML pipeline components, integrate checkpoints, streamline evaluation, and expose APIs for production use. Choose between a Platform RE team focused on shared training frameworks, data pipelines, and cluster tooling, or an Embedded team inside research squads. Write efficient, reliable Python code and benchmark deep-learning algorithms.

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FursaFursa
Mistral
Mistral
2 months ago

Research Engineer, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and optimize large-scale learning systems that power open-weight models, working closely with Research Scientists. You’ll accelerate research by taking ownership of heavy ML pipeline components, integrate checkpoints, streamline evaluation, and expose APIs for production use. Choose between a Platform RE team focused on shared training frameworks, data pipelines, and cluster tooling, or an Embedded team inside research squads. Write efficient, reliable Python code and benchmark deep-learning algorithms.
Location: Paris, Zurich, Switzerland, Warsaw, London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Accelerate researchers by taking on heavy parts of large-scale ML pipelines and building robust tools.
  • •Interface cutting-edge research with production by integrating checkpoints, streamlining evaluation, and exposing APIs.
  • •Run and iterate on deep-learning experiments, including sparsified 70B runs and distributed training on thousands of GPUs.
  • •Design, implement, and benchmark ML algorithms while writing clear, efficient Python code.
  • •Deliver prototypes that become production-grade components for Le Chat and the enterprise API.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •Master’s or PhD in Computer Science (or equivalent proven track record).
  • •4+ years working on large-scale ML codebases.
  • •Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
  • •Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline experience.
  • •Strong software-design instincts including testing, code review, and CI/CD.
Experience:Machine learningDeep learningNLPLLMs
Education:Master's in Computer Science
Skills:Self-starterCollaborativeLow-egoSoftware designCode reviewTestingCI/CD
Tech Stack:PythonPyTorchJAXTensorFlowDeepSpeedFSDPSLURMK8sCUDACI/CDAPIsNLPLLMsGPUs

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