Machine Learning Infrastructure Developer
5 days ago
Job Description
We are seeking a highly skilled developer to join our team in building the foundational infrastructure for machine learning engineers. Our team designs and operates high-performance systems that process large-scale data, run simulations, and train complex models.
Main Responsibilities:
- 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 handling 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.
Our Expectations
We are looking for an individual who can work independently and collaboratively as part of a team. Strong communication and problem-solving skills are essential. The ideal candidate will have a proven track record of delivering high-quality software solutions.
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