ML Engineer L5 - Ads Platform Engineering (Forecasting)
Description For ML Engineer L5 - Ads Platform Engineering (Forecasting)
Netflix, a global entertainment leader with 278 million subscribers, is seeking a Staff ML Engineer for their Ads Platform Engineering team. This role is part of Netflix's strategic initiative in the Connected TV advertising space, following the introduction of their ad-supported tier in 2022.
The position focuses on building sophisticated advertising systems that leverage Netflix's world-class content delivery ecosystem. As an ML Engineer, you'll be responsible for developing and productionizing forecasting models for ad inventory and performance, creating scalable simulation solutions, and implementing real-time advertising systems.
The role offers an exciting opportunity to work on cutting-edge ad tech solutions, combining machine learning with high-performance advertising systems. You'll be part of a team that's building unique value propositions to differentiate Netflix in the rapidly growing Connected TV advertising market.
Key responsibilities include developing predictive models for advertising campaigns, implementing low-latency real-time advertising solutions, and creating scalable simulation systems for inventory management. You'll work closely with cross-functional teams, including data science, product, engineering, and operations.
The position offers competitive compensation ranging from $100,000 to $720,000, with the flexibility to choose between salary and stock options. Netflix provides comprehensive benefits including health plans, mental health support, 401(k) with employer match, and generous time-off policies.
This is an ideal opportunity for experienced ML engineers passionate about advertising technology and eager to make a significant impact in the streaming industry. You'll be joining a company known for its unique culture that values diversity, innovation, and excellence in entertainment delivery.
Responsibilities For ML Engineer L5 - Ads Platform Engineering (Forecasting)
- Productionize models to forecast ad inventory availability and performance
- Build predictive models for advertising campaign effectiveness
- Implement models in low-latency real-time advertising environments
- Build scalable simulation solutions for inventory scenarios
- Develop budgeting and pacing systems, models, and algorithms
- Apply modeling and machine learning techniques for business problems
- Collaborate with cross-functional stakeholders
Requirements For ML Engineer L5 - Ads Platform Engineering (Forecasting)
- Experience in productionizing ML models
- Experience with forecasting and predictive modeling
- Knowledge of real-time advertising systems
- Experience with scalable simulation solutions
- Understanding of budgeting and pacing algorithms
- Strong collaboration skills with cross-functional teams
Benefits For ML Engineer L5 - Ads Platform Engineering (Forecasting)
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- 35 days annual paid time off (for hourly employees)
- Flexible time off (for salaried employees)
