Machine Learning Engineer (Intern)

TL;DR

Machine Learning Engineer (Intern) (AI Engineering): Bridging the gap between research and production by building scalable ML infrastructure and data pipelines with an accent on MLOps and cloud-native orchestration. Focus on optimizing high-performance ML workflows using Kubernetes, Argo Workflows, and real-time monitoring systems.

Location: Must be based in Taipei, Taiwan; hybrid work model requires regular office attendance.

Company

hirify.global is an AI-native company that empowers businesses to create value through advanced AdTech and MarTech solutions powered by Agentic AI.

What you will do

• Operate and improve robust ML job execution frameworks for training and inference.
• Build and maintain internal API servers and developer tools using Kubernetes, Helm, and Terraform.
• Implement data infrastructure and monitoring solutions with Prometheus and Grafana.
• Develop internal services to simplify ML experimentation and production workflows.
• Collaborate with senior engineers to transition research outputs into product features.

Requirements

• Must be able to commit to 2–4 days (16–32 hours) per week for at least 6 months.
• Must work from the Taipei office.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• At least 2 years of experience in ML or engineering.
• Proficiency in Python, Java, or Go with strong algorithmic foundations.

Nice to have

• Hands-on experience with Kubeflow, MLflow, or Apache Submarine.
• Familiarity with cloud-native ecosystems and AI system architecture.
• Ability to use LLM-powered tools to enhance productivity.

Culture & Benefits

• Work on cutting-edge Agentic AI solutions in an international environment.
• Direct collaboration with experienced ML scientists and engineers.
• Opportunity to contribute to real-world production systems and enterprise software.