Machine Learning Engineer II (Infrastructure)

TL;DR

Machine Learning Engineer II (Infrastructure): Designing and maintaining robust machine learning infrastructure to support large-scale ad serving and model training with an accent on performance, scalability, and reliability. Focus on building high-performance ML systems using JAX and Rust, optimizing data pipelines, and automating the engineering lifecycle.

Location: Seoul, Korea

Company

hirify.global builds powerful AI advertising solutions that democratize access to advanced machine learning for businesses globally.

What you will do

• Design and maintain robust ML infrastructure for large-scale ad serving and model training.
• Develop and optimize data pipelines for efficient model deployment and monitoring.
• Collaborate with cross-functional teams to deliver end-to-end ML solutions.
• Implement best practices for model versioning, reproducibility, and CI/CD.
• Build high-performance ML systems using JAX and Rust, optimized for GPUs and TPUs.
• Monitor and improve the reliability and performance of systems delivering millions of predictions per second.

Requirements

• 4+ years of experience in machine learning engineering or ML infrastructure.
• Proficiency in programming languages such as Python, Java, C++, or Rust.
• Hands-on experience with ML frameworks like TensorFlow, PyTorch, or JAX.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
• Experience building scalable data pipelines using Apache Beam, Spark, or Airflow.
• Strong problem-solving skills and ability to thrive in ambiguous environments.

Culture & Benefits

• Commitment to a diverse and inclusive workplace.
• Focus on continuous learning and growth mindset.
• Collaborative environment emphasizing humility and collective success.
• Opportunities to work on planet-scale AI systems.