ML Engineer (AI)

Location

Location: Seoul, Korea (Hybrid)

What you will do

• Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.
• Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems balancing latency, cost, and reliability.
• Design and maintain data systems for high-quality synthetic and real-world training data.
• Implement evaluation pipelines covering performance, robustness, safety, and bias.
• Own production deployment including GPU optimization, memory efficiency, latency reduction, and scaling policies.
• Collaborate with application engineering to integrate ML systems into backend, mobile, and desktop products.

Requirements

• Location: Must be able to work hybrid in Seoul, Korea
• Strong background in deep learning and transformer-based architectures.
• Experience training, fine-tuning, or deploying large-scale ML models in production.
• Proficiency with modern ML frameworks such as PyTorch or JAX.
• Experience with distributed training and inference frameworks like DeepSpeed, FSDP, Megatron, ZeRO, Ray.
• Strong software engineering fundamentals and GPU optimization skills.

Nice to have

• Experience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer.
• Contributions to open-source ML or systems libraries.
• Background in scientific computing, compilers, or GPU kernels.
• Experience with RLHF pipelines (PPO, DPO, ORPO).
• Experience training or deploying multimodal or diffusion models.
• Experience with large-scale data processing (Apache Arrow, Spark, Ray).

Culture & Benefits

• High talent density and hands-on team.
• Collective decision making and rapid execution.
• Balance between shipping high quality work and learning.
• Focus on structure, judgment, and independent execution.

Hiring process

• 3 to 4 interviews conducted via virtual meetings and/or onsite.
• Applications evaluated by technical team members.
• Prompt decision and offer for exceptional candidates.