서울 전농동에서 최고의 software engineer, server infrastructure 채용공고 16개(지금 채용 중!)

Machine Learning Software Engineer (Match Group AI)
Match Group —서울
- 정규직
Software Engineer – GPU Kernel
FriendliAI —서울
- 정규직
빠른 지원하기
Forward Deployed Software Engineer, Internship - Commercial
Palantir Technologies —서울
- 인턴
Application Engineer - Calibre DS
Siemens —경기도 성남
- 정규직
8일
Staff Software Development Technology Engineer - Games
Advanced Micro Devices, Inc —서울
IP Design Engineer
Rebellions —성남 분당구
Electrical System Engineer
Schneider Electric —서울
- 정규직
Technical Account Manager - OpenShift, Telco
Red Hat, Inc. —서울
- 정규직
Security Service Delivery Field Support Engineer
NTT Ltd —서울
- 정규직
Senior Software Engineer - Customer Integration
Sonatus —서울
빠른 지원하기
Head of Engineering, Electrical
AtkinsRéalis —서울
- 정규직
Process Automation Domestic Sales
Schneider Electric —서울
- 아르바이트
Sr. Staff - AI Data Center Architect
Coupang —서울
빠른 지원하기
Staff Back-end Engineer (Rocket Pay)
Coupang —서울
빠른 지원하기
Staff, Back-end Engineer (Traffic Management)
Coupang —서울
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Senior Staff, Back-end Engineer (Gateway Services)
Coupang —서울
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서울 전농동의 software engineer, server infrastructure에 대한 최신 취업소식을 받고 싶습니다.

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Machine Learning Software Engineer (Match Group AI)

Match Group -
서울

지금 지원하기

채용공고 세부정보

정규직

상세 직무 내용

Match Group AI Team Introduction

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)

Working as a MLSE at MG AI

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

What You’ll Do

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.
Improve Recommendation System: Improve the AI-powered personalized recommendation system to help users find better matches on Match Group’s dating apps (serve better retrieval/ranking/utility models, add better features, etc).
Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Match, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo.

Required Qualifications

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): Essential for cross-functional collaboration within the Seoul office.

Preferred Qualifications

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.)

#mg

#LI-YN1

지금 지원하기

검색결과 새로고침

서울 전농동 지역 채용공고 software engineer, server infrastructure건

Machine Learning Software Engineer (Match Group AI)

Software Engineer – GPU Kernel

Forward Deployed Software Engineer, Internship - Commercial

Application Engineer - Calibre DS

Staff Software Development Technology Engineer - Games

IP Design Engineer

Electrical System Engineer

Technical Account Manager - OpenShift, Telco

Security Service Delivery Field Support Engineer

Senior Software Engineer - Customer Integration

Head of Engineering, Electrical

Process Automation Domestic Sales

Sr. Staff - AI Data Center Architect

Staff Back-end Engineer (Rocket Pay)

Staff, Back-end Engineer (Traffic Management)

Senior Staff, Back-end Engineer (Gateway Services)

Other jobs to consider

서울 전농동의 software engineer, server infrastructure에 대한 최신 취업소식을 받고 싶습니다.

더 많은 지역의 채용공고 둘러보기

Match Group AI Team Introduction

Working as a MLSE at MG AI

What You’ll Do

Required Qualifications

Preferred Qualifications

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기업회원 도구

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