Machine Learning Engineer Intern

1 week ago

Taipei City, Taiwan Applier Full time $80,000 - $120,000 per year

About the role

What You'll Work On
  • Assist in operating robust ML job execution frameworks for training, inference, and post-processing.
  • Assist in building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
  • Assist in implementing data infrastructure and monitoring tools like Prometheus and Grafana.
  • Create internal tools and services to simplify ML experimentation and production workflows.
  • Collaborate closely with senior ML engineers and scientists to turn research outputs into user-facing product features
What We're Looking For[Minimum qualifications]
  • 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
[Preferred qualifications]
  • Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
  • Familiar in using LLM-powered tools (e.g., Github Copilot, ChatGPT) 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)

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