Machine Learning Engineer (Contents Understanding)

As a Machine Learning Engineer at AI Lab, you will be responsible for researching and improving cutting-edge models, as well as making technical decisions that take into account realistic constraints.

Requirements

• Deep understanding of the AI/ML domain and in-depth knowledge of at least one specific domain.
• Interest in productizing AI technology.
• Ability to solve problems using AI and project management skills.
• Strong development skills in Python, including TensorFlow, PyTorch, CatBoost, and JAX.
• Strong ownership and ability to lead projects from start to finish.
• Strong communication skills to work with multiple stakeholders.
• Engineering skills to understand software development structures and content, and to plan features.
• Ability to discover statistical characteristics and patterns in data and apply them to AI problem-solving.
• Experience with A/B testing, experiment planning, and target KPI definition, as well as SQL-based data analysis.
• Ability to communicate fluently in Korean.

Benefits

• Infrastructure
• We need to have the right infrastructure for deep learning. Hyperconnect has built a self-contained deep learning research cluster to allow ML engineers to develop and experiment with models.