Research Engineer, Machine Learning

Mistral
Palo Alto, San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: ["Self-starter","Low-ego","Collaborative","Software design","Testing","Code review","CI/CD"]

Build and optimize large-scale learning systems powering open-weight models, collaborating closely with research scientists. Work across Platform or Embedded research squads to accelerate ML pipelines, improve training frameworks, data pipelines, and cluster tooling, and bridge research to production by integrating checkpoints, evaluation, and APIs. Conduct experiments with state-of-the-art deep-learning techniques, benchmark ML algorithms, and deliver prototypes that become production-grade components for Le Chat and the enterprise API.

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FursaFursa
Mistral
Mistral
1 month ago

Research Engineer, Machine Learning

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and optimize large-scale learning systems powering open-weight models, collaborating closely with research scientists. Work across Platform or Embedded research squads to accelerate ML pipelines, improve training frameworks, data pipelines, and cluster tooling, and bridge research to production by integrating checkpoints, evaluation, and APIs. Conduct experiments with state-of-the-art deep-learning techniques, benchmark ML algorithms, and deliver prototypes that become production-grade components for Le Chat and the enterprise API.
Location: Palo Alto, San Francisco
Workplace: Hybrid
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.
  • •Conduct experiments using latest deep-learning techniques and distributed training across thousands of GPUs.
  • •Design, implement, and benchmark ML algorithms with clear, efficient Python code.
  • •Deliver prototypes that evolve into production-grade components for Le Chat and the enterprise API.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocation SupportWellness 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, and comfort with distributed training (DeepSpeed / FSDP / SLURM / K8s).
  • •Experience in deep learning, NLP, or LLMs; bonus for CUDA or data-pipeline work.
  • •Strong software-design instincts including testing, code review, and CI/CD.
Experience:4+ yearsLarge-scale MLDeep learningNLPLLMsDistributed training
Education:Master's in Computer Science
Skills:Self-starterLow-egoCollaborativeSoftware designTestingCode reviewCI/CD
Tech Stack:PythonPyTorchJAXTensorFlowDeepSpeedFSDPSLURMK8sCUDAAPIsCI/CD

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