Mistral

1 week ago

Research Engineer, Data Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Build and operate Mistral’s next-generation data infrastructure for frontier model training and fine-tuning. Help scale massive distributed compute and storage systems, implement multi-cluster orchestration and cloud-bursting, and transition away from legacy schedulers. Own production-grade pipelines, metadata and lineage systems, and cloud-native deployment workflows across Kubernetes and SLURM environments, including on-call rotation for critical training jobs.

Location: Paris, Zurich, Switzerland, Warsaw, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Build and scale massive distributed compute and storage systems
•Architect and maintain multi-cluster orchestration layers to optimize workload placement across hardware and regions
•Design and transition to modern storage formats for large-scale fine-tuning datasets
•Contribute to an internal training platform enabling seamless training and fine-tuning across Kubernetes and SLURM environments
•Implement and manage metadata, lineage, and production deployment workflows; participate in on-call rotations for critical training jobs

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering
•Experience or strong interest supporting foundational compute and storage platforms
•Proficiency in Python and interest in solving “brittle data lake” problems using modern columnar storage
•Experience with Kubernetes-native tooling and debugging large-scale distributed systems across multi-cluster environments
•Comfort building scalable, reliable, secure systems in a rapid-growth AI environment

Experience:4+ yearsMLOpsData infrastructureInfrastructure engineering

Skills:Problem-solvingDebuggingScalability mindsetReliability focusSecurity mindset

Tech Stack:PythonKubernetesSLURMCloud-nativeMulti-cluster orchestrationData lakesMetadata systemsColumnar storage

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

Website LinkedIn

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Mistral

1 week ago

Research Engineer, Data Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: Paris, Zurich, Switzerland, Warsaw, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Build and scale massive distributed compute and storage systems
•Architect and maintain multi-cluster orchestration layers to optimize workload placement across hardware and regions
•Design and transition to modern storage formats for large-scale fine-tuning datasets
•Contribute to an internal training platform enabling seamless training and fine-tuning across Kubernetes and SLURM environments
•Implement and manage metadata, lineage, and production deployment workflows; participate in on-call rotations for critical training jobs

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering
•Experience or strong interest supporting foundational compute and storage platforms
•Proficiency in Python and interest in solving “brittle data lake” problems using modern columnar storage
•Experience with Kubernetes-native tooling and debugging large-scale distributed systems across multi-cluster environments
•Comfort building scalable, reliable, secure systems in a rapid-growth AI environment

Experience:4+ yearsMLOpsData infrastructureInfrastructure engineering

Skills:Problem-solvingDebuggingScalability mindsetReliability focusSecurity mindset

Tech Stack:PythonKubernetesSLURMCloud-nativeMulti-cluster orchestrationData lakesMetadata systemsColumnar storage

Company Brief

Mistral

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn