- Company: Get A Job.ai
- Location: Paris
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team at Get A Job.ai is representing a confidential AI organization in their search for a Research Engineer focused on Data Infrastructure. This is a chance to work on frontier-scale compute and storage systems that power advanced machine learning research and development.
You'll join a team building the foundation for training and fine-tuning at massive scale—architecting data lakes, orchestration layers, and metadata systems designed to grow into exabyte-scale infrastructure. This role involves full lifecycle ownership, from system design to production operations, supporting critical workloads across distributed multi-cluster environments.
Responsibilities
- Build and scale distributed compute and storage systems to support high-performance model training and fine-tuning
- Design and implement multi-cluster orchestration to optimize workload placement across diverse hardware and geographic regions
- Architect modern storage solutions using columnar formats to handle datasets at exabyte-anticipated scale
- Contribute to internal platform development across Kubernetes and SLURM environments
- Implement metadata and lineage systems to provide visibility across growing data and model pipelines
- Manage cloud-native deployments using modern workflows, ensuring reliability and efficiency at scale
- Participate in on-call rotations for critical training infrastructure
What We're Looking For
- 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering
- Experience or strong interest in foundational compute and storage platforms
- Proficiency in Python with a focus on solving large-scale data engineering challenges
- Deep knowledge of Kubernetes-native tooling and distributed systems debugging across multi-cluster environments
- Track record of building scalable, reliable, and secure systems from the ground up
- Comfort working in ambiguous, high-growth environments with rapidly evolving requirements
- Based in or willing to relocate to Paris, London, Warsaw, or Zurich; or remote within France, UK, Poland, or Switzerland with willingness to visit a local hub for onboarding and at least three days per month thereafter
How We Work With You
Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and match you with the right opportunity. Once we've confirmed mutual interest, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication will be coordinated through our team to ensure a smooth process.
Pay
Compensation details will be discussed during the screening process based on experience and location.
Equal Opportunity
Get A Job.ai is committed to inclusive hiring practices and works with clients who value diversity in their teams. We encourage applications from candidates of all backgrounds.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Research Engineer, Data Infrastructure
- Employer Get A Job.ai
- Location Paris
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 5, 2026
- Apply by October 6, 2026
- Overview Full job description on this page (402 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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