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Senior Software Engineer - Machine Learning Infrastructure

daangnSEOUL
On-site Full-time

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Experience Level

Senior

Qualifications

Enhanced qualifications have been included in the job description above.

About the job

Welcome to the Journey of Joining the Daangn Team!

At Daangn, we are committed to fostering an environment where individuals can grow alongside the company's success.

Our recruitment team is here to assist you in achieving those joyful moments of collaboration with amazing colleagues.


 

Introducing the ML Infrastructure Team

The ML Infrastructure Team within our Infrastructure Department is responsible for developing a robust and scalable machine learning infrastructure that ensures effective service delivery and efficient operation of Daangn’s machine learning-based services. Machine learning is extensively utilized at Daangn to enhance service quality and improve user convenience across various domains, including feed recommendations, ad recommendations, and service operations. The ML Infrastructure Team handles everything from data processing, model training, model serving, to the deployment processes necessary for machine learning service development.

 

Daangn's GenAI Platform

Building Serverless ML Training Infrastructure: Vertex AI Pipelines & TFX

ML Infrastructure with GCP | 2025 Daangn GCP Meetup

Your Responsibilities

  • Develop and manage model servers and serving systems for efficient deployment of various machine learning models.
  • Develop and maintain ML infrastructure SDKs, frameworks, and training systems used across the organization.
  • Create specialized monitoring systems for machine learning services to detect quality changes early.
  • Implement various optimization methods across the machine learning infrastructure to enhance development iteration speed and resource efficiency.

We Are Looking For

  • A proficient user of one or more programming languages such as Python or C++.
  • Strong understanding of the infrastructure required for training and serving machine learning models.
  • Over 7 years of experience in backend service or machine learning service development/operations.
  • A desire to improve machine learning infrastructure through solid software engineering skills.
  • Experience in developing and operating GPU clusters.

Preferred Qualifications

  • Familiarity with cloud services like AWS and GCP, with practical experience.
  • A deep understanding of the machine learning ecosystem and contributions to open source projects (e.g., TensorFlow, PyTorch, TensorFlow Extended).
  • A keen interest in new technological trends and a willingness to learn.

Additional Information

  • For full-time hires, there is a 3-month probation period.
  • We prioritize individuals with disabilities and veterans according to the Employment Promotion and Vocational Rehabilitation Act and the Act on the Honorable Treatment and Support of Veterans.

Application Process

1. Document Screening  → 2. Video Interview → 3. Technical Interview → 4. Culture Fit Interview and Reference Check → 5. Compensation Negotiation → 6. Final Acceptance and Onboarding

Go to Daangn Joining Journey Guide

About daangn

Daangn is a forward-thinking company that focuses on creating an environment where individuals can grow together with the company's development. We believe in fostering collaboration and innovation to enhance our services and provide exceptional value to our users.

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