Technical Lead, Machine Learning (AI)

Location: Seoul, South Korea; hybrid work arrangement.

Company

hirify.global is building a proactive AI assistant for conversations, errands, organization, and everyday workflows.

What you will do

• Own end-to-end ML system execution, including data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
• Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems while balancing latency, cost, and reliability.
• Design training-data systems and evaluation pipelines covering performance, robustness, safety, and bias.
• Own production deployment, GPU optimization, memory efficiency, latency reduction, and scaling policies.
• Collaborate with application engineering to integrate ML systems into backend, mobile, and desktop products.

Requirements

• Professional experience building or shipping real ML systems used by people.
• Strong Python skills and experience with PyTorch or JAX.
• Experience with GPU-based training and inference systems.
• Ability to work with large models and understand their failure modes.
• Production-grade coding skills with a focus on system correctness.
• Self-directed ownership, pragmatic judgment, and clear communication in small teams.

Culture & Benefits

• Work in a small, high-talent-density, hands-on team.
• Make decisions collectively and move quickly while balancing quality with learning.
• Work with significant independence, structure, and judgment.
• Build practical AI products intended to benefit users globally.

Hiring process

• Three, and no more than four, interviews if there is a potential fit.
• Technical team members evaluate applications.
• Interviews take place via virtual meetings and/or onsite, followed by a prompt decision.