Machine Learning Engineer (AI Models)

TL;DR

Machine Learning Engineer (AI Models): Bringing advanced LLM and vision models to life on custom AI hardware with an accent on porting, tuning, and validating workloads. Focus on optimizing model execution, identifying bottlenecks across the stack, and collaborating with compiler and hardware teams to maximize performance.

Location: Hybrid, based in Cyprus

Company

hirify.global is developing a high-performance RISC-V CPU and a comprehensive AI platform to revolutionize computing performance and cost efficiency.

What you will do

• Bring up, run, and debug modern ML models (transformers) using PyTorch or TensorFlow.
• Analyze model behavior and identify bottlenecks across the hardware/software stack.
• Optimize efficiency, correctness, and scalability of model execution in real systems.
• Collaborate with compiler, kernel, and hardware teams to drive system-level improvements.
• Translate state-of-the-art model architectures into production-grade high-performance deployments.

Requirements

• Strong experience with ML models in PyTorch or TensorFlow.
• Deep understanding of modern ML architectures, specifically transformers.
• Solid software engineering fundamentals and debugging skills.
• Must be eligible to access U.S. export-controlled technology (EAR compliance).
• Must be based in or able to work hybrid in Cyprus.

Nice to have

• Experience with profiling, performance tuning, or quantization.
• Familiarity with flash attention, kernel fusion, or memory hierarchies.
• Knowledge of C++, CUDA, or systems programming.

Culture & Benefits

• Opportunity to work at the intersection of ML research and silicon-scale engineering.
• Highly competitive compensation package.
• Collaborative environment focused on solving hard technical problems.
• Equal opportunity employer.