Machine Learning Engineer (L5) - Ads Platform Engineering

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Netflix

Employee count: 5000+

Salary: 100k-720k USD

United States only

Netflix is expanding its ad-supported tier and seeking a Machine Learning Engineer to join the Core Ads Algorithms team. This team focuses on developing data-driven solutions to personalize ad experiences for members. The role involves building, deploying, and scaling machine learning models to address ad performance challenges and drive impactful results for advertisers.

Requirements

Proficiency in Java, Python, or Scala
Experience in building end-to-end ML model deployment for real-time systems
Skilled at maintaining production systems, with familiarity in DevOps tools and practices
Strong problem-solving and cross-functional collaboration skills

Benefits

Annual salary

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About the job

Apply before

Dec 17, 2025

Posted on

Oct 18, 2025

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 100k-720k USD

Location requirements

United States

Hiring timezones

United States +/- 0 hours

Job categories

Ads Machine Learning Engineer Machine Learning Platform Engineer AI ML Engineer Jobs Machine Learning Engineer Applied Machine Learning Engineer

Skills

Java Python Scala Real Time Systems DevOps Machine Learning

About Netflix

Learn more about Netflix and their company culture.

View company profile

Netflix is the world's leading streaming entertainment service with over 195 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

A great workplace combines exceptional colleagues and hard problems.

Freedom and Responsibility

Our core philosophy is people over process. Our culture has been instrumental to our success and has helped us attract and retain stunning colleagues, making work here more satisfying.

Internet entertainment. Global original content. Product personalization.

Our first original series debuted in 2013. Over the following decades, Internet TV will replace linear, and we hope to keep leading by offering an amazing entertainment experience.

Tech stack

Learn about the tools and technologies that Netflix uses to build, market, and sell its products.

View tech stack

Node.js

JavaScript

Python

HTML5

Java

CSS 3

Kotlin

Swift

Flask

Falcor

Presto

36 more

Netflix employees can create an account to update this tech stack.

Employee benefits

Learn about the employee benefits and perks provided at Netflix.

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Healthcare benefits

Medical, dental, and vision insurance.

Time Away

Our vacation policy is “take vacation” and we actually do. Frankly, we intermix work and personal time quite a bit. Time away works differently at Netflix.

Paid parental leave

We recognize that one of the most special events in an individual's life is the birth or adoption of a child. Our parental leave policy is: "take care of your baby and yourself." New parents generally take 4 - 8 months.

Work, Not Drive

When it comes to your work schedule, commuting doesn’t always sync up and rush hour can be stressful. Work, not drive partners with a rideshare service that provides you the flexibility and focus on work while you commute.

View Netflix's employee benefits

Apply now

Please let Netflix know you found this job on Himalayas. This helps us grow!

Apply now

About the job

Apply before

Dec 17, 2025

Posted on

Oct 18, 2025

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 100k-720k USD

Location requirements

United States

Hiring timezones

United States +/- 0 hours

Job categories

Ads Machine Learning Engineer Machine Learning Platform Engineer AI ML Engineer Jobs Machine Learning Engineer Applied Machine Learning Engineer

Skills

Java Python Scala Real Time Systems DevOps Machine Learning

Claim this profile

Netflix

Company size

5000+ employees

Founded in

1997

Chief executive officer

Reed Hastings

Markets

Digital Media Digital Entertainment Streaming Content Entertainment Licensing

Employees live in

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