NetflixHiring

Software Engineer 5, Model Development and Management, AI Platform

  • Remote, United States
  • Full-time
  • Senior
  • Posted 8 days ago
In one line

Senior engineering role on an AI platform team, building the interface layer that speeds up model creation, evaluation, experimentation and deployment.

About the role

Model development tooling is the work: gathering needs from ML researchers and data scientists, then designing and shipping products that make the model lifecycle faster and more reliable.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
Python, Scala, Java, Metaflow, Airflow, Kubeflow, MLflow
Posted
21 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Gather requirements from ML teams and turn them into platform products
  • Design and build tooling for model creation, evaluation, experimentation and deployment
  • Engage the ML community to find pain points and shape the roadmap

What they look for

  • Experience building platform solutions such as SDKs, developer frameworks or internal tooling for ML researchers and data scientists
  • Strong design and coding in Python plus one of Scala, Java or C++
  • Experience with large-scale ML services across data, training, experiment tracking and deployment
  • Familiarity with workflow orchestration and experiment tracking tools like Metaflow, Airflow, Kubeflow or MLflow
  • 5 or more years of full-time software engineering or ML work, with a bachelor's and master's degree or a PhD

Nice to have

  • Experience building ML models or LLMs
  • Work on agentic systems
  • Public cloud experience, especially AWS
  • Notable open source contributions

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Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: experience building platform solutions such as SDKs, developer frameworks or internal tooling for ML researchers and data scientists; strong design and coding in Python plus one of Scala, Java or C++; experience with large-scale ML services across data, training, experiment tracking and deployment. Skills it names include Python, Scala, Java, Metaflow.

How do I apply with Keywordise AI?

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