ML Infrastructure Platform Developer

2 weeks ago


Singapore beBeeSoftware Full time $90,000 - $120,000
Build the Future of Autonomous Vehicles

We are seeking a highly skilled Senior Software Engineer to join our team and help build the foundational infrastructure for Machine Learning Engineers to develop next-generation self-driving technology.

This is a software engineering role focused on building robust platforms, not an SRE position. You will design and implement critical services that directly impact the pace of AV innovation.

  • Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
  • Develop robust and scalable services that support the entire ML lifecycle, from data ingestion and processing to model training and evaluation.
  • Write high-quality, maintainable code for high-throughput systems that handle petabytes of data.
  • Own features and systems end-to-end, driving them from initial design through to production deployment and operation.

Requirements:

  • 4+ years of professional software engineering experience.
  • BS or MS in Computer Science or a related technical field.
  • Hands-on experience developing and deploying applications on Kubernetes (k8s) is a must.
  • Experience building or working on high-scale infrastructure or distributed backend systems.
  • Strong proficiency in Python, Go, or a similar language.
  • Solid experience with a major cloud provider (AWS, GCP, Azure).
  • A strong sense of ownership and a passion for building high-quality software.

What We're Looking For:

  • A team player who can collaborate effectively with other engineers.
  • A problem solver who can tackle complex challenges.
  • A learner who can adapt quickly to new technologies and frameworks.

Why Join Us:

  • Be part of a team that is shaping the future of autonomous vehicles.
  • Work on cutting-edge technologies and innovative projects.
  • Collaborate with talented engineers from diverse backgrounds.


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