Senior Software Engineer, Machine Learning Platform
chime · San Francisco, CA, USA · $187k–$259k
- Posted
- 3 days ago
- Last confirmed live
- 1 day ago
- Published range
- $187k–$259k
What this role involves
This role involves designing and building scalable ML infrastructure on AWS, including distributed training, feature pipelines, and real-time inference systems. The engineer will work on infrastructure-as-code, CI/CD workflows, and partner with data science teams to improve developer experience and platform reliability.
Skills this posting asks for
- aws
- ray
- terraform
- feature store
- feature pipelines
- kinesis
- kafka
- flink
- spark
- ci/cd
- docker
- kubernetes
- gpu programming
- cuda
- python
- go
- scala
- java
- cloudformation
- streaming technologies
- ml experimentation platforms
- model governance
- distributed systems
- cloud computing
Requirements
- 5 years of experience
- Level: senior
From the employer’s posting
About the role Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor…
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