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Research Engineer, ML Platform
Summary by AIEngineer.careers
Research Engineer, ML Platform is a ML Infrastructure Engineer role (full-time). with Mistral AI. in PALO ALTO, US. Imported listing (source: aihiringboard.com). Apply on the employer's site (aihiringboard.com).
Imported listing (source: aihiringboard.com) · Apply on aihiringboard.com
PALO ALTO · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from aihiringboard.com
Mistral AI is hiring a Research Engineer to build and operate the ML platform that powers large-scale training, evaluation, and batch inference. You will develop infrastructure enabling researchers and engineers to run distributed GPU workloads reliably across clusters, hardware types, and regions. The role spans the full ML lifecycle, from workload scheduling and capacity management to platform APIs, observability, and production operations.
Responsibilities
- Build services, APIs, controllers, and tooling for training, evaluation, fine-tuning, and batch inference.
- Orchestrate GPU workloads with queueing, admission control, quotas, priorities, preemption, and topology-aware placement.
- Improve provisioning, allocation, and utilization of heterogeneous GPU resources across clusters.
- Enable multi-cluster execution based on capacity, data locality, hardware requirements, and organizational priorities.
- Create self-service workflows that make distributed workloads easy to launch, observe, debug, and reproduce.
- Optimize GPU utilization, scheduling latency, workload startup time, throughput, and infrastructure efficiency.
- Develop observability, failure recovery, capacity planning, and operational tooling for critical ML workloads.
- Participate in on-call rotations and troubleshoot issues across applications, schedulers, networking, storage, and GPU infrastructure.
Mistral AI
Paris · FR · 1019+ employees
Mistral AI is a French artificial-intelligence company founded in 2023 and headquartered in Paris. It develops open-weight and commercial large language models and related generative-AI products, with a mission to make frontier AI broadly accessible.
