Technical Lead, Machine Learning (AI)

Location: Hybrid in Seoul, South Korea

Company

Building proactive AI applications that help people manage conversations, errands, organization, and workflows with minimal prompting.

What you will do

• Own end-to-end machine learning systems across data, training, evaluation, inference, and deployment.
• Build and evolve training, fine-tuning, and data pipelines for large models.
• Design evaluation systems for capability, robustness, safety, and real-world product performance.
• Architect high-performance inference systems optimized for latency, GPU utilization, memory, cost, and reliability.
• Establish production infrastructure for model deployment, monitoring, and continuous improvement.
• Partner with research and application engineering to turn model capabilities into product improvements.

Requirements

• Experience building and shipping production machine learning systems used by real users.
• Strong understanding of large-model training, fine-tuning, evaluation, and inference.
• Strong software engineering and systems fundamentals, with production-grade coding practices.
• Experience operating GPU-based machine learning workloads at meaningful scale.
• Strong technical judgment, independent execution, and a focus on experimentation, measurement, correctness, and reliability.
• Python and PyTorch or JAX experience, including GPU-based training and inference systems.

Culture & Benefits

• Small, high-talent-density, hands-on team with broad engineering ownership.
• Fast decision-making, close collaboration, and independent execution.
• Work that combines research, systems engineering, and product development.
• Virtual and/or onsite interviews with a prompt decision process.

Hiring process

• Three, and no more than four, interviews if there appears to be a fit.
• Applications are evaluated by technical team members.
• Interviews are conducted via virtual meetings and/or onsite.