Machine Learning Engineer (Intern)

Appier is looking for a Machine Learning Engineer Intern to join the Enterprise Solution Science Team, helping bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure. The internship involves 16-32 hours per week for a minimum of 6 months, and is based in the Taiwan office.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 2+ years of experience in ML or engineering
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies
• Familiar in using LLM-powered tools to boost development productivity
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)