AI Research Engineer (AI)

TL;DR

AI Research Engineer (AI): Building data pipelines, training infrastructure, and simulation environments for foundation models and autonomous agents with an accent on distributed systems, ML operations, and scalable evaluation. Focus on bridging the gap between research prototypes and production-grade observability and security solutions at hirify.global.

Location: Paris, France (Hybrid role)

Company

hirify.global is a global cloud-scale monitoring and security platform providing observability solutions for complex, multi-cloud technology stacks.

What you will do

• Develop and maintain multimodal data pipelines, benchmarks, and internal research tooling.
• Implement and profile ML models for reliability, performance, and cost-efficiency at scale.
• Orchestrate distributed training and RL workflows using frameworks like Ray.
• Build simulation and replay environments for autonomous agent training.
• Establish rigorous automated testing and regression suites for model performance.
• Collaborate across teams to harden research prototypes into integrated production capabilities.

Requirements

• Language: Python proficiency and familiarity with a systems language (Rust, C++, or Go) required.
• Strong background in distributed computing, ML systems, and RL infrastructure.
• Practical experience with ML frameworks like PyTorch or JAX.
• Deep understanding of model training, fine-tuning, and inference optimization techniques (SFT, RLHF, quantization).
• Ability to clearly communicate design trade-offs to diverse audiences.
• Experience supporting or contributing to research publications.

Nice to have

• Strong software engineering experience in observability, SRE, or security domains.
• Hands-on experience with CUDA and GPU optimization.
• Prior work with large foundation models or simulation sandbox environments.
• Experience with distributed training frameworks like Megatron-LM, DeepSpeed, or SkyRL.

Culture & Benefits

• Competitive global benefits package.
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
• Collaborative environment with opportunities for international networking between Paris and NYC offices.
• Budget and support for attending and presenting at top-tier industry conferences.
• In-house mentorship program and diverse Community Guilds.