Senior ML Systems Engineer (AI)

TL;DR

Senior ML Systems Engineer (AI): Build, maintain, and evolve the training framework powering large-scale language model training with an accent on distributed training, HPC infrastructure, and tooling development. Focus on designing scalable training abstractions, improving throughput on multi-node clusters, and building robust systems for reproducible large-scale runs.

Location: Remote with offices in London, Paris, New York, Toronto, Montreal, and San Francisco

Company

hirify.global is a leading AI company focused on training and deploying frontier models to power advanced AI systems for developers and enterprises.

What you will do

• Build and own the training framework for large-scale LLM training
• Design distributed training abstractions including data, tensor, and pipeline parallelism
• Improve training throughput and stability on multi-node HPC clusters
• Develop tooling for monitoring, logging, debugging, and developer ergonomics
• Collaborate with infrastructure teams to support high-performance training environments
• Investigate and resolve performance bottlenecks across the ML systems stack

Requirements

• Location: Remote with presence in London, Paris, New York, Toronto, Montreal, or San Francisco
• Strong experience in large-scale distributed training or HPC systems
• Familiarity with JAX internals, distributed training libraries, and multi-node cluster orchestration (Slurm, Ray, Kubernetes)
• Experience debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines
• Experience with containerized environments such as Docker and Singularity/Apptainer
• Strong collaboration skills to work with infra, research, and deployment teams

Nice to have

• Experience training LLMs or large transformer architectures
• Contributions to ML frameworks like PyTorch, JAX, DeepSpeed, Megatron
• Familiarity with evaluation and serving frameworks such as vLLM and TensorRT-LLM
• Background in performance engineering, profiling, or low-level systems
• Publications at top-tier ML conferences

Culture & Benefits

• Inclusive and open culture with a world-class AI research team
• Weekly lunch stipend, in-office lunches, and snacks
• Full health and dental benefits including mental health budget
• 100% parental leave top-up for up to 6 months
• Personal enrichment benefits for arts, fitness, and workspace improvement
• Remote-flexible with offices in multiple major cities and co-working stipend
• 6 weeks of vacation (30 working days)