Machine Learning Engineer

4w4 weeks ago

Comcast

Washington, US · Full-time · $142,651 – $213,977

About this role

Comcast's Multimodal Analysis Framework (MAF) is an end-to-end platform that processes video, images, audio, and documents to generate rich, structured metadata at scale. As a mid-level Backend Engineer on the Machine Learning Platform team, you will build scalable backend systems powering ML workloads and LLM-driven applications.

Your day-to-day involves designing high-performance backend services in Golang, developing REST and gRPC APIs for inference and orchestration, and implementing asynchronous distributed processing patterns. You will also operate services on Kubernetes, manage infrastructure with Terraform, and build on AWS.

You will work closely with ML engineers to integrate inference services into backend workflows, focusing on latency, throughput, and cost. A core part of the role is designing platform capabilities that allow LLMs to safely and reliably interact with tools, data, and services via agent frameworks and MCP servers.

This is an opportunity to join an award-winning technology team that turns big ideas into cutting-edge products. Comcast creates space to innovate, recognizes and invests in your ideas, and encourages you to bring your authentic self to the workplace, where you can do the best work of your career.

Requirements

Proficiency in Golang for building production-grade backend services.
Experience deploying and operating services on Kubernetes.
Experience managing infrastructure with Terraform.
Experience building REST and gRPC APIs.
Familiarity with asynchronous and event-driven processing patterns.
Understanding of ML inference workflows and pipeline integration.
Experience with video, image, or document processing pipelines is a plus.
Ability to work closely with ML engineers and platform teams.

Responsibilities

Design, build, and maintain high-performance backend services in Golang for ML and AI platform use cases.
Develop REST and gRPC APIs for inference, processing pipelines, orchestration, and platform services.
Implement asynchronous and distributed processing patterns (workers, queues, event-driven systems).
Build and operate backend systems supporting video, image, and document processing pipelines.
Integrate ML inference services into backend workflows with attention to latency, throughput, and cost.
Ensure backend services meet production standards for scalability, reliability, and security.
Design platform capabilities that allow LLMs to safely interact with tools and services via agent frameworks and MCP servers.

Benefits

Opportunity to work on a cutting-edge multimodal analysis platform processing video, images, audio, and documents.
Recognition and investment in your ideas within an award-winning technology team.
Ability to bring your authentic self to the workplace and innovate freely.
Remote flexibility for candidates living greater than 100 miles from the office (when position is listed with virtual offering).
Join a Fortune 30 global media and technology company with reach across hundreds of millions of customers and viewers.