Sr. Machine Learning Engineer

A technology company developing AI-powered social discovery services connecting people worldwide
Machine Learning
Senior Software Engineer
Hybrid
3+ years of experience
AI

Description For Sr. Machine Learning Engineer

Hyperconnect's AI Lab is seeking a Senior Machine Learning Engineer to join their innovative team focused on connecting people through AI-powered services. The role involves working on cutting-edge ML problems in video, audio, natural language processing, and recommendation systems. You'll be part of a team that develops and deploys models for both mobile and cloud environments, contributing to products like Azar.

The position offers unique challenges in content understanding, real-time inference, and large-scale model deployment. You'll work with state-of-the-art infrastructure, including a cluster of DGX-A100 GPUs, and have opportunities to publish research at top conferences like ICCV, EMNLP, and CVPR.

As a Senior ML Engineer, you'll tackle complex problems including model optimization for mobile devices, domain adaptation, multi-modal learning, and real-time anomaly detection. The role requires both research expertise and practical engineering skills to transform academic concepts into production-ready solutions.

You'll collaborate with cross-functional teams, contribute to the company's research publications, and help build AI flywheels for continuous model improvement. The position offers exposure to real-world ML challenges and the opportunity to work on projects that directly impact millions of users worldwide.

The ideal candidate combines strong theoretical knowledge with practical experience in deploying ML systems, has excellent communication skills, and can mentor other team members. This role is perfect for someone passionate about applying cutting-edge AI research to solve real-world problems at scale.

Last updated 2 minutes ago

Responsibilities For Sr. Machine Learning Engineer

  • Research and improve state-of-the-art ML models
  • Develop and optimize models for both on-device and server environments
  • Build and maintain AI flywheels for continuous model improvement
  • Collaborate with backend, frontend, DevOps engineers, data analysts, and PMs
  • Publish research papers and open-source code
  • Work on content understanding and recommendation systems
  • Handle real-time inference and large-scale model deployment

Requirements For Sr. Machine Learning Engineer

Python
  • 3+ years of relevant project experience in AI/ML
  • Deep understanding of AI/ML domains with expertise in at least one specific area
  • Strong software engineering skills to solve complex technical constraints
  • Experience in implementing research papers from scratch
  • Experience in deploying ML models to production services
  • Strong communication skills for cross-functional collaboration
  • Ability to mentor other ML engineers
  • Fluent in Korean language

Benefits For Sr. Machine Learning Engineer

Education Budget
  • Access to state-of-the-art deep learning infrastructure including DGX-A100 cluster
  • Opportunity to publish research papers at top-tier conferences
  • Collaboration with diverse engineering teams

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