Data Engineer, Netflix

Content Machine Learning

$170-720k

+ Stock options

SQL

Python

Scala

Java

Tensorflow

Spark

PyTorch

Keras

Hive

Mid and Senior level

Los Angeles

Streaming service

Job no longer available

Streaming service

1001+ employees

B2CContentSubscriptionEntertainmentDigital MediaSaaS

Job no longer available

$170-720k

+ Stock options

SQL

Python

Scala

Java

Tensorflow

Spark

PyTorch

Keras

Hive

Mid and Senior level

Los Angeles

1001+ employees

B2CContentSubscriptionEntertainmentDigital MediaSaaS

Company mission

Entertainment, like friendship, is a fundamental human need; it changes how we feel and gives us common ground. Netflix is better entertainment at lower cost and greater scale than the world has ever seen. They want to entertain everyone, and make the world smile.

Job

Company

Role

Who you are

The ideal candidate will have a strong background in distributed data processing and can demonstrate strong data intuition and end-to-end ownership of our systems - from data collection and processing to running ML systems in production
Passionate about data systems: build reliable and trustworthy web-scale data products
Highly proficient in at least one of the programming languages (e.g. Python, Java, or Scala) with at least 4 years of software/data engineering experience
Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data
Familiarity with machine learning libraries TensorFlow, PyTorch, JAX, or Keras
Experience working in machine learning or natural language processing domains. Some experience in implementing and productionizing models in large-scale industrial settings is a plus
Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages, graph machine learning)
You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
Excited about learning new business domains, demonstrating excellence, and growing your career

What the job involves

We are looking for a Data Engineer with a background in Machine Learning to own and scale our data systems while supporting high-visibility data pipelines and products
As part of this team, you will work on a diverse tech stack to build insightful, scalable, and robust data systems and machine learning models that create and describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph
You will collaborate closely with other Machine Learning Engineers and Scientists to build scalable graphs and then leverage graph data in ML predictive models
Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
Leverage ML techniques for information extraction, building knowledge graphs with the information, and leveraging graph ML to power business insights
Build robust data quality systems using best-in-the-class data and ML techniques enabling the team and partners to deliver more business value
Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and related business domains
Understand business requirements and provide data that empowers teams to innovate on top of the Netflix KG
Join a stunning team of data and machine learning engineers with diverse skill sets, partnering closely with data science, analytics, and business counterparts

Our take

Netflix was started when one of the co-founders had received a $40 late fee after failing to return a film on time. Now, Netflix is one of the fastest growing technology companies, reinventing the entertainment space by providing high quality content for low fees.

This is becoming an increasingly competitive space, with deep-pocketed rivals including Amazon, Disney, Apple and AT&T. They are all spending big on content and pricing cheaply in a battle to win subscribers.

After a dwindling number of subscribers due to tough competition in 2022, Netflix is focused and committed to improving its core service which is its TV, movies and now games going forward. Post-IPO funding of $183 million from Winslow Capital at the end of 2023 followed the previous year's dumping of shares by the same company after Netflix's first loss of subscribers. This capital indicates a shifting perspective on Netflix's outlook, which saw a year-end subscriber boost.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.4)

Company

Funding (last 2 of 6 rounds)

Apr 2000

$50m

SERIES E

Jul 1999

$30m

SERIES D

Total funding: $103.5m

Company benefits

Work from home opportunities

Company HQ

Los Gatos, CA

Leadership

Reed Hastings

(Chairman)

Served two years with the Peace Corps in Switzerland. Studied Computer Science at Stanford, and founded Pure Software (which sold for a substantial profit before Netflix). Previously a Board Member at Microsoft and Facebook.

Greg Peters

(Co-CEO)

Previously Netflix COO and CPO, SVP and CE of Product Development at Macrovision, VP of Engineering at Mediabolic, Director at Redhat inc, VP Engineering at NOCpulse.

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