Machine Learning Engineer (golang)

Sky (Comcast)

Washington, DC, United States
Base: $142,651.46 - $213,977.19; bonus/equity: not...
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Golang backend services
Kubernetes deployment and operation
Terraform for infrastructure
** Sky (Comcast) is seeking a mid-level Machine Learning Engineer with a focus on backend development in Golang for their Washington, DC office. The role involves building scalable backend systems for processing various content types and enabling LLM-driven applications, primarily utilizing Kubernetes, AWS, and Terraform. **

Job Summary

  • Join an award-winning technology team at Comcast, a Fortune 30 global media and technology company.
  • Build scalable backend systems powering ML workloads including video, image, and document processing, and enabling LLM-driven applications.
  • Design platform capabilities for safe and reliable LLM interaction with tools, data, and services via agent frameworks and MCP servers.

Matching Summary

Match Score: 75

** Sky (Comcast) is seeking a mid-level Machine Learning Engineer with a focus on backend development in Golang for their Washington, DC office. The role involves building scalable backend systems for processing various content types and enabling LLM-driven applications, primarily utilizing Kubernetes, AWS, and Terraform. **

Salary

Base: $142,651.46 - $213,977.19; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Golang backend services
  • Kubernetes deployment and operation
  • Terraform for infrastructure
  • AWS cloud services
  • LLM-enabled backend services
  • Agentic workflows and MCP servers
  • Vector search with Milvus

Nice-to-have

  • GPU-backed workloads
  • Messaging/streaming systems
  • Secure system design for AI

Key Requirements

  • 3-6 years of professional software engineering experience
  • Experience building and operating APIs
  • Hands-on experience with Kubernetes
  • Experience using Terraform
  • Solid working knowledge of AWS
  • Experience building or supporting ML processing pipelines
  • Practical experience using LLMs in production systems
  • Experience developing agents or MCP servers

Work Rights

Not specified

Tailored Resume

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