South KoreaMachine Learning Software Engineer ( AI)
1 мес. назад
South KoreaWorldwideHybrid
python
Machine Learning Software Engineer role focusing on integrating state-of-the-art AI models into high-traffic production systems for 's global dating apps.
О компании
- AI Team Introduction AI (MG AI) is the central tech organization that drives innovation across ’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 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 AI Team (
Требования
- 2+ years of experience in software engineering, with a focus on Backend, ML Engineering, or Data Engineering.
- Strong understanding of CS Fundamentals (data structures, algorithms, operating systems) and distributed system design.
- Proficiency in at least one modern programming language (e.g., Python, Go, Java, Kotlin, C#) and a "polyglot mindset" to adapt to new stacks quickly.
- A strong interest in how ML models are built and a passion for solving the engineering challenges of deploying them in the real world.
- Proficiency in leveraging AI-powered tools (e.g., Claude Code, Codex, Cursor) to accelerate productivity.
- Professional working proficiency in English. (Able to conduct business meetings and participate in complex discussions without requiring assistance.)
- Fluent in Korean (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.) - Essential for cross-functional collaboration within the Seoul office.
Будет плюсом
- Experience with the full ML lifecycle, from model training to production deployment.
- 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.)
Другое
- Bridge Research to Production: Operationalize complex ML models into robust, scalable features for global brands like Tinder and Hinge.
- Build ML Services: Design and develop backend services and distributed systems that enable the seamless consumption, scaling, and monitoring of ML models.
- Build ML Pipelines: Design and develop ML serving pipelines (real-time and batch) to deliver model outputs with low latency and high reliability.
- Drive LLM Innovation: Partner with ML engineers to deploy and optimize Large Language Models (LLMs) for practical, high-impact use cases such as profile assistance.
- Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo.