JobsSoftware Engineer L5 — Machine Learning Build, Productivity, and Reliability Tooling
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Software Engineer L5 — Machine Learning Build, Productivity, and Reliability Tooling

Netflix

Location

remote

Type

Full-time

Posted

6/7/2026

Compensation

$100,000 - $720,000 per year

Undergraduate with 5+ Years of Experience
Approval 98.4%·Filings 128·New hires 57·
💎 Strong Sponsor
·FY 2025

Job description

The Software Engineer L5 position at Netflix focuses on building developer productivity tools for machine learning teams. The role involves designing, building, and maintaining tools that support machine learning researchers in their daily tasks. The engineer will work closely with ML researchers to identify challenges and create effective solutions. This position requires a strong software engineering background and experience with CI/CD systems.

Requirements

  • 4+ years of software engineering experience with a successful track record of delivering quality results.
  • Strong software design and development skills in Scala, Java, C#, or C++.
  • Experience with large-scale data frameworks such as Spark or Hadoop.
  • Experience with parallel and distributed computing.
  • Bachelor's degree in Computer Science or a related field.

Responsibilities

  • Design, build, and maintain tools for machine learning researchers.
  • Collaborate with ML researchers to identify frictions and develop solutions.
  • Operate large CI/CD systems effectively.
  • Contribute to the overall productivity of Netflix's machine learning teams.

Benefits

  • Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.

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