Staff ML Research Engineer (Multimodal AI)

Location: Seoul, South Korea; hybrid

Company

hirify.global builds multimodal AI models that understand video across sight, sound, and motion for production-scale workloads in media, entertainment, sports, security, and government.

What you will do

• Set the technical direction for multimodal structure and next-generation embedding models.
• Own end-to-end model development, including research planning, data architecture, distributed training, production evaluation, and iteration.
• Architect and optimize training infrastructure, data processing systems, experiment workflows, and GPU utilization.
• Build and operate production model APIs, covering packaging, API design, inference optimization, and reliability at scale.
• Define data curation, filtering, quality, and evaluation systems for structure, embeddings, and multimodal retrieval.
• Drive integration with Agent, Search, Product, and Infrastructure teams while mentoring engineers and raising research engineering standards.

Requirements

• 7+ years of industry experience in computer vision, video understanding, or multimodal learning.
• Deep expertise in large-scale distributed model training, such as kernel optimization or FSDP.
• Experience building and operating production model APIs for large-scale ML systems.
• Strong proficiency in Python and PyTorch.
• Experience connecting multimodal structure with embeddings and retrieval, with demonstrated end-to-end ownership from research through production.
• Evidence of research depth and engineering impact, such as publications paired with shipped products.

Nice to have

• Experience training billion-parameter models.
• Experience with pipeline reliability, monitoring, fault tolerance, and cost optimization.
• Experience with large-scale data curation, temporal or hierarchical modeling, and multimodal video modeling.
• Experience optimizing training and inference for throughput, latency, GPU efficiency, and scale.
• Technical leadership experience shaping architectural or product direction.

Culture & Benefits

• Global team working with B2B customers worldwide and an autonomous, collaborative hybrid environment.
• MacBook, home-office equipment allowance, and equipment replacement every three years.
• Unlimited LLM tokens for technical roles and an annual professional development allowance.
• English education and a global buddy program.
• Annual health screenings, group insurance, flu vaccination support, a year-end two-week paid holiday break, and meal and transportation benefits.