Data Engineer, Netflix
Content Machine Learning
$170-720k
+ Stock options
Streaming service
Job no longer available
Streaming service
1001+ employees
Job no longer available
$170-720k
+ Stock options
1001+ employees
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.
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
Otta's take
Xav Kearney
CTO of Otta
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.
Insights
Few candidates hear
back within 2 weeks
-8% employee growth in 12 months
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 values
- Inclusion
- You work well with people of different backgrounds, identities, values and cultures
- You are excited to help build diverse teams where everyone feels welcomed and respected
- You recognize we all have biases and work to counteract them
- You take action if someone is marginalizing a colleague
- You treat everyone with respect regardless of their position at Netflix
- Integrity
- You exhibit and are known for candor and transparency
- You only say things about colleagues that you are willing to share with them
- You admit mistakes openly and share learnings widely
- You always share relevant information internally, even when uncomfortable
- You act with good intent and trust your colleagues to do the same
- Passion
- You care deeply about Netflix‘s success
- You inspire others with your drive for excellence
- You are excited about your work
- You are proud to entertain the world
- You are tenacious and optimistic
- Innovation
- You develop new ideas that prove impactful
- You look for every opportunity to reduce complexity and keep things simple
- You challenge prevailing assumptions, and suggest better approaches
- You are flexible and thrive in a constantly evolving organization
- Curiosity
- You learn rapidly and eagerly
- You seek alternate perspectives to improve your ideas
- You see patterns and connections that other people miss
- You seek to understand members’ changing tastes and desires
Company HQ
Los Gatos, CA
Founders
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.
People progressing
Joined as a Content Strategy Associate in LA. Moved to London after 6 months. They have been promoted to Head of Content Strategy & Analysis UK.
Salary benchmarks
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