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Ifm Us9mo ago
USD 150000–450000/yr
Machine Learning Infrastructure Engineer
SunnyvaleFull-timemidData ScienceOtherDevOps & InfrastructureMachine LearningMachine Learning Infrastructure EngineerData & AI
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Quick Summary
Requirements Summary
• 5+ years of experience in ML systems, infra, or distributed training • Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale,
Technical Tools
Data ScienceOtherDevOps & InfrastructureMachine LearningMachine Learning Infrastructure EngineerData & AI
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
We're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You’ll work side-by-side with world-class researchers and engineers to:
• Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)
• Implement distributed optimizers from mathematical specs
• Build robust config + launch systems across multi-node, multi-GPU clusters
• Own experiment tracking, metrics logging, and job monitoring for external visibility
• Improve training system reliability, maintainability, and performance
• While much of the work will support large-scale pre-training, pre-training experience is not required. Strong infrastructure and systems experience is what we value most.
Key Responsibilities
• Distributed Framework Ownership – Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures.
• Optimizer Implementation – Translate mathematical optimizer specs into distributed implementations.
• Launch Config & Debugging – Create and debug multi-node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets.
• Metrics & Monitoring – Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers.
• Infra Engineering – Write production-quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale.
Qualifications
Must-Haves:
• 5+ years of experience in ML systems, infra, or distributed training
• Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)
• Strong software engineering fundamentals (Python, systems design, testing)
• Proven multi-node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO)
• Ability to implement algorithms across GPUs/nodes based on mathematical specs
• Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team
• Experience with large-scale machine learning workloads (strong ML fundamentals)
Nice-to-Haves:
• Exposure to mixed-precision training (e.g., bf16, fp8) with accuracy validation
• Familiarity with performance profiling, kernel fusion, or memory optimization
• Open-source contributions or published research (MLSys, ICML, NeurIPS)
• CUDA or Triton kernel experience
• Experience with large-scale pre-training
• Experience building custom training pipelines at scale and modifying them for custom needs
• Deep familiarity with training infrastructure and performance tuning
Listing Details
- Posted
- July 18, 2025
- First seen
- March 26, 2026
- Last seen
- April 25, 2026
Posting Health
- Days active
- 29
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- April 25, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
Salary
USD 150000–450000
per year
External application · ~5 min on Ifm Us's site
Please let Ifm Us know you found this job on Jobera.
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Machine Learning Infrastructure EngineerUSD 150000–450000