Machine Learning Engineer (L5 - Senior), Ads Inventory Management & Forecasting

2 Months ago • 4-8 Years • Monetization • $100,000 PA - $720,000 PA

Job Summary

Job Description

Netflix seeks a Senior Machine Learning Engineer (L5) for its Ads Inventory Management & Forecasting team. This role involves building and deploying real-time ML models for low-latency ad systems, handling massive datasets with tools like Spark, and creating scalable simulation solutions to model various inventory scenarios. Responsibilities include forecasting campaign effectiveness (impressions, reach, ROI), building ad budgeting and pacing systems, and collaborating with cross-functional teams. A deep understanding of the advertising marketplace and publisher-side challenges is crucial. The ideal candidate will have experience with large-scale data, ML model deployment, and ad tech systems.
Must have:
  • End-to-end ML model deployment
  • Big data tools (Spark)
  • Predictive model building
  • Scalable simulation solutions
  • Ads budgeting & pacing systems
  • Understanding of advertising marketplace
Good to have:
  • Lucene index experience
  • Publisher-side ad tech systems
  • Yield optimization
  • Contribution to ads industry standards
  • CTV space knowledge
  • Ad regulation familiarity
Perks:
  • Comprehensive benefits
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan
  • Stock Option Program
  • Paid time off

Job Details

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.

Our Team

The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

Ads Inventory Management & Forecasting team builds state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations. The team also builds systems that enable publisher inventory management solutions, which supports various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization.

Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Skills & experience we’re seeking:

  • Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.

  • Experience in handling data at extremely large volumes with big data tools like Spark.

  • Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like impressions, reach, clicks, conversions, and ROI.

  • Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.

  • Familiar with ads budgeting and pacing systems, models, and algorithms

  • General understanding of the advertising marketplace and landscape, with a focus on publisher side challenges like optimizing fill rates and maximizing revenue in the context of inventory management.

  • Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

Nice to haves:

  • Good understanding of Lucene index and had experience building Lucene index with large volume of data.

  • Familiar with publisher-side ad tech systems including ad servers, bidders, yield optimizers, and their demand-side counterparts (SSPs/DSPs)

  • Experience in yield optimization, product recommendation and dynamic allocation of direct/programmatic guaranteed and non-guaranteed inventory

  • Contributed to an ads industry technology standard (e.g  VAST, OpenRTB) or worked on an industry consortium effort, working group etc.

  • Familiarity with legal compliance and changing landscape of ads regulations around the world.

  • Experience working in the CTV space and knowledge of its unique constraints

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more .

is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Similar Jobs

Google - Technical Lead, System Test

Google

Sunnyvale, California, United States (On-Site)
1 Week ago
Riot Games - Software Engineering Intern

Riot Games

Sydney, New South Wales, Australia (Hybrid)
1 Week ago
Samsung Semiconductor - Machine Learning Engineer Intern - PEFT

Samsung Semiconductor

San Jose, California, United States (On-Site)
3 Months ago
Google - Senior Software Engineer, iOS, Google Photos

Google

Sydney, New South Wales, Australia (On-Site)
1 Week ago
Tencent - Senior Staff Researcher

Tencent

Palo Alto, California, United States (On-Site)
5 Months ago
Paytm - Ads Sales - Manager - Noida

Paytm

Noida, Uttar Pradesh, India (On-Site)
6 Months ago
ByteDance - Backend Engineer Intern, Video-On-Demand

ByteDance

Singapore (On-Site)
4 Weeks ago
InMobiInMobi - Lead Account Management

InMobiInMobi

Bengaluru, Karnataka, India (On-Site)
1 Week ago
Playtika - Director Of Monetization, VIP & CS

Playtika

Israel (On-Site)
4 Months ago
ByteDance - Android Software Engineer (Web and Client) Intern

ByteDance

Singapore (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Google - Staff Engineer Tech Lead, Opinion Rewards, Google Ads

Google

Bengaluru, Karnataka, India (On-Site)
4 Days ago
Tencent - Senior Researcher, Speech Processing

Tencent

London, England, United Kingdom (On-Site)
1 Month ago
Google - Software Engineer III, Keystore, Google Cloud

Google

Warsaw, Masovian Voivodeship, Poland (On-Site)
1 Week ago
ByteDance - Research Scientist, Data Management and Security - Infrastructure System Lab

ByteDance

Seattle, Washington, United States (On-Site)
1 Week ago
Google - API Management Engineer

Google

Karnataka, India (On-Site)
6 Days ago
Google - Software Engineer II, Mobile, Wear OS

Google

Bucharest, Bucharest, Romania (On-Site)
1 Week ago
Google - Staff Software Engineer, Generative AI, Google Workspace

Google

Kirkland, Washington, United States (On-Site)
1 Week ago
Google - Software Engineer III, Infrastructure, Google Cloud Data Management

Google

Seattle, Washington, United States (On-Site)
6 Days ago
Inkittt - Senior Frontend Engineer

Inkittt

San Francisco, California, United States (On-Site)
8 Months ago
Google - Site Reliability Engineer, Borg Node SRE

Google

Zürich, Zurich, Switzerland (On-Site)
1 Week ago

Get notifed when new similar jobs are uploaded

Jobs in United States

Tencent - Senior Technical Director

Tencent

Los Angeles, California, United States (On-Site)
1 Month ago
ByteDance - Quality Assurance Engineer Graduate (Global E-commerce-US) - 2025 Start (BS/MS)

ByteDance

San Jose, California, United States (On-Site)
5 Months ago
Rivos - Software Compiler - Full Time

Rivos

United States (Hybrid)
6 Months ago
Nintendo - Contract - Localization Specialist (Portuguese)

Nintendo

Redmond, Washington, United States (Hybrid)
6 Days ago
Samsung Semiconductor - Machine Learning Engineer Intern - PEFT

Samsung Semiconductor

San Jose, California, United States (On-Site)
3 Months ago
Zoox - Senior Software Engineer -  Fail Operational Planning

Zoox

Foster City, California, United States (Hybrid)
6 Months ago
Google - Field Sales Representative III, Retail, Supply Chain

Google

Chicago, Illinois, United States (On-Site)
6 Days ago
ByteDance - Software Engineer - Applied Machine Learning, Engine

ByteDance

San Jose, California, United States (On-Site)
1 Week ago
NVIDIA - Senior Developer Technology Engineer, Public Sector

NVIDIA

Santa Clara, California, United States (Remote)
1 Month ago
AGBO - Senior Director, Financial Planning & Analysis

AGBO

Los Angeles, California, United States (On-Site)
7 Months ago

Get notifed when new similar jobs are uploaded

Monetization Jobs

ByteDance - Product Operations - Search Ads Team

ByteDance

Tokyo, Japan (On-Site)
1 Week ago
ByteDance - Financial Risk Strategy Expert - Global Payment

ByteDance

Jakarta, Jakarta, Indonesia (On-Site)
3 Months ago
Inkittt - Product Manager, Monetization

Inkittt

San Francisco, California, United States (Hybrid)
5 Months ago
ByteDance - Livestream (User Generated Content) Event Operations Intern - 2025 Start

ByteDance

Taguig, Metro Manila, Philippines (On-Site)
3 Months ago
ByteDance - Site Reliability Engineer - CapCut - San Jose/Seattle

ByteDance

San Jose, California, United States (On-Site)
5 Months ago
ByteDance - Software Engineer, Video-On-Demand

ByteDance

Singapore (On-Site)
5 Months ago
ByteDance - Backend Software Engineer Intern (Product RD and Infrastructure-Global E-Commerce)- 2025 Summer (BS/MS)

ByteDance

Seattle, Washington, United States (On-Site)
5 Months ago
ByteDance - Research Scientist in Multimodal Graduate (Applied Machine Learning) - 2024 Start (PhD)

ByteDance

San Jose, California, United States (On-Site)
5 Months ago
ByteDance - Research Scientist Intern (Doubao (Seed) - Music Foundation Model) - 2024 Summer (PhD)

ByteDance

San Jose, California, United States (On-Site)
5 Months ago
ByteDance - Backend Software Engineer - Security Engineering

ByteDance

San Jose, California, United States (On-Site)
1 Week ago

Get notifed when new similar jobs are uploaded

About The Company

Netflix is one of the world's leading entertainment services with over 247 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

London, England, United Kingdom (On-Site)

Berlin, Berlin, Germany (On-Site)

Milan, Lombardy, Italy (On-Site)

Paris, Île-de-France, France (On-Site)

Seoul, South Korea (On-Site)

Los Angeles, California, United States (On-Site)

Los Gatos, California, United States (On-Site)

Pennsylvania, United States (On-Site)

View All Jobs

Get notified when new jobs are added by Netflix

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug