Senior Machine Learning Software Engineer (ML Platform) at Match Group

Seoul, South Korea

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Machine LearningIndustries

Requirements

5년 이상의 소프트웨어(백엔드, 데이터 엔지니어링, 분산 시스템 등) 설계 및 구현, 운영 경험
CS fundamentals(운영체제, 네트워크, 컴퓨터 시스템 아키텍처, 자료구조 및 알고리즘 등)에 대한 탄탄한 기본지식 보유
Java(Kotlin), Python, Golang, JavaScript, Swift, C++, RUST 중 두 개 이상의 언어에 대한 깊은 이해와 새로운 언어 학습 능력
다양한 개발 경험을 통해 여러 스택을 넘나들며 익숙하지 않은 환경에 빠르게 적응 가능
AWS, GCP, Azure 등 Public Cloud 환경에서 인프라 설계, 구축, 운영 경험
Kubernetes 경험

Responsibilities

클라우드 기반 ML Ops 인프라 구축 및 도구 개발 (ArgoCD, NVIDIA Triton, Argo Workflows, 데이터 파이프라인, 개발자 포탈, SDK/CLI 등)
고성능 GPU 클러스터 구축 및 운영 (Slurm 기반 HPC, InfiniBand, 스케줄링 정책 튜닝, 모니터링(Prometheus, Grafana), IaC(Ansible, Terraform), 파일 시스템 연동)
모델 성능 및 운영 비용 최적화 (FSDP, DeepSpeed, TensorRT, ONNX Runtime, 양자화, 동적 배치, AWS Inferentia, 오토스케일링(KEDA))
모바일 기기에서 동작하는 추론 엔진 개발 (TFLite, PyTorch Mobile, 양자화, Pruning, SIMD/GPU/NNAPI 최적화, 빌드/배포 파이프라인, 테스트 자동화)
조직 생산성 향상을 위한 엔지니어링 (ML 모델 라이프사이클 자동화, 생산성 지표 측정 및 병목 분석/개선)

Skills

Key technologies and capabilities for this role

Machine LearningMLOpsArgoCDNVIDIA TritonTensorFlowPyTorchArgo WorkflowsSlurmGPU ClusterInfiniBandPrometheusGrafanaAnsibleTerraformFSDPDeepSpeedKubernetes

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What key technical skills are required for this Senior ML Platform Engineer role?

Key skills include experience with ML Ops tools like ArgoCD, NVIDIA Triton, Argo Workflows; high-performance computing with Slurm, GPU clusters (A100/H100), InfiniBand; distributed training techniques like FSDP and DeepSpeed; and mobile inference with TFLite, PyTorch Mobile.

What is the mission of the ML Platform team?

The ML Platform team automates and stabilizes the entire ML production process to quickly connect AI technology to business impact and maximize research and development productivity across the organization.

What experience makes a strong candidate for this role?

Strong candidates have expertise in building cloud-based ML Ops infrastructure, managing high-performance GPU clusters, optimizing model performance and costs, and developing mobile inference engines.

Match Group

Provides online dating and social discovery

About Match Group

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Dallas, TexasHeadquarters

1986Year Founded

$400MTotal Funding

IPOCompany Stage

Consumer Software, Social ImpactIndustries

1,001-5,000Employees

Benefits

Medical/Dental/Vision Insurance

Charitable Matching Program

Retirement Matching Funds

Training and Education Allowance

Performance Bonuses

Mental Health Counseling

Risks

Increased competition from AI-driven dating apps may draw users away.

Privacy concerns and data breaches could impact reputation and operations.

Free dating apps with innovative features may pressure Match Group's pricing models.

Differentiation

Match Group offers nearly 50 brands catering to diverse dating communities.

The company generates revenue through subscription, transaction, and advertising models.

Match Group operates globally, available in over 200 countries and 40 languages.

Upsides

Increased interest in AI-driven matchmaking enhances user experience and engagement.

Growing trend of VR integration offers immersive dating experiences.

Rising demand for niche platforms caters to specific interests and communities.

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