Senior ML Platform Engineer

Rebar; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision coverage

Free lunches and dinners

Job summary

Rebar is seeking a Senior ML Infrastructure Engineer to build and optimize the platform for ML engineers. The role focuses on designing APIs, integrating cloud systems, and ensuring operational excellence in a startup environment.

Ideal candidates have a solid background in backend systems, ML workflows, and cloud infrastructure, with a bachelor's degree in a relevant field. This onsite position offers a competitive salary and substantial equity.

Qualifications

• 3+ years of experience building production backend systems.
• Experience with cloud-based infrastructure management.
• Proven track record operating ML inference at large scale.

Responsibilities

• Design and build CLI, SDK, and services for the ML platform.
• Integrate cloud and SaaS stack into a unified system.
• Monitor and ensure reliable production model serving.

Skills

Expert-level Python

Cloud infrastructure (AWS)

Infrastructure-as-code (IaC) tooling

Managed ML inference and serving platforms

APIs and SDKs development

ML workflows understanding

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or related field

Tools

Terraform

AWS SageMaker

GCP Vertex AI

Job description

Rebar is seeking a Senior ML Infrastructure Engineer to build and optimize the platform for ML engineers. The role focuses on designing APIs, integrating cloud systems, and ensuring operational excellence in a startup environment.

Ideal candidates have a solid background in backend systems, ML workflows, and cloud infrastructure, with a bachelor's degree in a relevant field. This onsite position offers a competitive salary and substantial equity.