Machine Learning Software Engineer (Match Group AI)

Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group’s global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc. Our mission is to solve the most complex challenges in online dating (e.g., Recommendation, Trust & Safety, Profile Enhancement) by bridging cutting-edge AI research with excellent software engineering.

Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry.

• Detailed article: Introduction to Match Group AI Team (written in Korean)

While ML Engineers focus on modeling, Machine Learning Software Engineers (MLSEs) at MG AI team focus on the critical bridge between research and production. We ensure that state-of-the-art models (including LLMs and Multimodal systems) are integrated into high-traffic environments, serving millions of users in real-time.

We also upload a selection of interesting problems solved by our team's engineers to the Hyperconnect Tech blog (written in Korean).

• On-device AI Face Verification Pipeline Optimization
• 10 Python Performance Optimization Tips for High-Performance ML Backends

• Experience with the full ML lifecycle, from model training to production deployment.
• Experience in building AI-based recommendation system.
• Experience in developing scalable backend servers (handling millions of users).
• Experience in developing and serving ML-driven services using frameworks such as vLLM, Triton, Ray Serve, or Seldon.
• Experience with big data or stream processing frameworks (e.g., Spark, Flink, Kafka) for building robust ML data pipelines.
• Experience in collaborating with cross-functional teams and diverse organizations.
• Fluent in English (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.)

• Work type: Full-time
• Legal Entity: Hyperconnect / Brand: Match Group AI
• Recruitment Process: Resume Review > Live Coding Interview > Technical Interview > Technical Deep-dive & Cultural Alignment Interview > Offer
• (* Please note that part of the interview process may be conducted in English)
• For the document screening stage, only successful candidates will be individually notified of the results.
• Application documents: A detailed, career-based English resume (PDF) in free format
• This position is open to candidates seeking to transfer as Alternative Military Service Researchers (전문연구요원). For those under this program, service management will be conducted in accordance with the relevant military service exemption laws.