Netflix · 1 hour ago
Security ML Engineer (L5)
United States
Full-time
Remote
Senior Level
$190K/yr - $920K/yr
5+ years expNetflix is one of the world's leading entertainment services, and they are seeking a Security ML Engineer to build production ML systems that detect fraud and abuse patterns. The role involves deploying real-time inference systems and collaborating with various teams to enhance security measures across Netflix's platform.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
You will build production ML systems that detect fraud and abuse patterns across Netflix's global member base and device ecosystem
You will deploy real-time inference systems that provide security signals to authorization and policy engines, while deciding when and where ML is the right solution to security challenges
You will solve challenges including unlabeled/mislabeled data, highly imbalanced datasets, concept drift, and evasion attacks
You will design metrics and observability to measure model performance and security impact in production
You will build scalable solutions to automate security decisions by creating ML-driven policies that balance security, member experience, and business needs
You achieve your goals by collaborating cross-functionally with security engineers, data scientists, infrastructure teams, and product managers to deliver end-to-end solutions
Qualification
Required
5+ years of industry experience designing, building, and deploying ML systems in production environments, including Production ML expertise with Python or Java, and modern ML frameworks
Strong ML foundation in supervised and unsupervised learning, anomaly detection, classification, and statistical modeling techniques (e.g., logistic regression, random forests, gradient boosting, isolation forests, autoencoders) and understanding of the trade-offs with each of those models
Big data proficiency using distributed computing platforms like Spark, along with SQL and data pipeline development
You are experienced with programming languages such as Python and/or Java in a big data environment
Security mindset with curiosity about attacker incentives, threat modeling, and adversarial techniques
Systems thinking for building scalable, low-latency inference systems that handle millions of requests
You operate effectively across teams and disciplines in highly ambiguous and rapidly changing environments
A strong communicator & collaborator in varying contexts & environments
Benefits
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
Life and Serious Injury Benefits
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.
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$63.91BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
2025-12-31
Company data provided by crunchbase