Staff Machine Learning Engineer - Infrastructure
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
Architect and maintain the infrastructure that underpins ML applications, services, and workflows in production.
Develop cloud-native services and serverless architectures to build scalable and resilient systems.
Partner with data scientists to design data pipelines that enable multiple ML models in production.
Write secure, maintainable code meeting HIPAA requirements and internal standards.
Design, deploy, and monitor the full ML platform stack, including observability, data analytics, backend integration, and the R&D lifecycle.
Collaborate with Product, Research, and Engineering to iterate features and improve efficiency across the AI/ML infrastructure; manage incidents with blameless postmortems.
Develop cloud-native services and serverless architectures to build scalable and resilient systems.
Partner with data scientists to design data pipelines that enable multiple ML models in production.
Write secure, maintainable code meeting HIPAA requirements and internal standards.
Design, deploy, and monitor the full ML platform stack, including observability, data analytics, backend integration, and the R&D lifecycle.
Collaborate with Product, Research, and Engineering to iterate features and improve efficiency across the AI/ML infrastructure; manage incidents with blameless postmortems.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inSimilar openings
Other roles that could suit you.