Web-Scale Algorithms Engineer (Personalization & AI)

Netflix; Montgomery (AL); On-site; USD 42,000 - 62,000; Full time

Job summary

Netflix is seeking a Software Engineer in Montgomery, AL, to contribute to the up-and-coming calculations used for the Netflix landing page. You will drive vision, prerequisites, planning, execution, testing and responsibility for core algorithmic components.

You will collaborate with data scientists and engineers to build scalable AI-powered features, mentor peers, and help shape best practices across teams working on personalization and large-scale systems.

Qualifications

• 2+ years of programming experience with a history of delivering quality results
• Strong programming design and development skills in Scala, Java, Python
• Clear understanding of a variety of programming practices and when to use them
• Experience building web-scale, parallel and distributed computing frameworks
• Experience building personalization frameworks or AI platforms
• Experience with large-scale data structures like Spark, Flink or Hive
• Strong collaboration skills
• BS in Software engineering or related field or equivalent pragmatic experience

Responsibilities

• Develop calculations and algorithms for the Netflix landing page
• Collaborate with analysts and data researchers to deliver scalable AI solutions
• Mentor the team and promote best programming practices and frameworks
• Coordinate with architects across groups on personalization and AI initiatives
• Contribute to distributed computing and data pipeline efforts

Skills

Scala

Java

Python

Web-scale systems

AI frameworks

Team collaboration

Distributed computing

Education

Bachelor's degree in Software Engineering or related field

Tools

Spark

Flink

Hive

TensorFlow

Keras

PyTorch

Bazel

Buck

AWS

Job description

Netflix is seeking a Software Engineer in Montgomery, AL, to contribute to the up-and-coming calculations used for the Netflix landing page. You will drive vision, prerequisites, planning, execution, testing and responsibility for core algorithmic components.

You will collaborate with data scientists and engineers to build scalable AI-powered features, mentor peers, and help shape best practices across teams working on personalization and large-scale systems.