Senior Machine Learning Software Engineer (AI)

Location: Seoul, South Korea; hybrid

Company

hirify.global AI is the central technology organization serving hirify.global's global dating portfolio, including Tinder, Hinge, Azar, Pairs, Match, and BLK.

What you will do

• Lead complex machine learning projects from broad goals through production systems used by millions of users.
• Coordinate ML Engineers, product managers, and brand partners across global offices, while removing technical and organizational blockers.
• Design and build backend services and real-time and batch data pipelines that bring ML models into production.
• Serve deep learning and large language models with low latency and reasonable GPU costs using batching, caching, and hardware optimization.
• Set standards for problem definition, design documentation, AI-driven development, and engineering growth.

Requirements

• Track record of owning a complex project from a rough goal to a production system, including problem definition, technical direction, trade-offs, and outcomes.
• 5+ years of software engineering experience in backend, ML systems, data engineering, or a similar area, including production services or data pipelines.
• Ability to design scalable, reliable systems and explain technical trade-offs clearly.
• Hands-on experience writing clean, well-tested code; Python is preferred.
• Daily experience using AI coding agents and ability to learn new topics with AI.
• High agency, persistence, and ability to drive work to results without compromising quality.
• Collaborative, persuasive, receptive to feedback, and able to understand the needs of others.
• Professional working proficiency in English and Korean, including leading business meetings and participating in complex discussions without assistance.

Nice to have

• Strong computer science fundamentals or close experience with ML Engineers on model training and serving.
• Experience as a tech lead or manager.
• Experience building trust and safety systems, recommendation systems, AI product features, or ML APIs used by multiple teams.
• Experience serving ML models with vLLM, Triton, or Ray Serve, or building large-scale backends and data pipelines with Spark, Flink, or Kafka.
• Experience turning vague product ideas into user-facing products.
• Experience working with teams across companies, countries, or time zones.
• Native-level English.

Culture & Benefits

• Full-time employment with Hyperconnect under the hirify.global AI brand.
• AI-native development environment where most work uses AI agents such as Claude Code and Codex.
• Work with a global organization serving multiple hirify.global brands rather than a single app.
• Interview stages: resume review, technical interview, technical deep-dive and cultural alignment interview, then offer.

Hiring process

• Submit a detailed, career-based English resume in PDF format.
• Part of the interview process may be conducted in English; only successful document-screening candidates are notified individually.