Netflix is looking to solve the problem of detecting fraud and abuse patterns across its global member base and device ecosystem, and to automate security decisions to defend against account compromise, content piracy, credential stuffing, DDoS attacks, and other forms of abuse.
Requirements
- 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
- Big data proficiency using distributed computing platforms like Spark, along with SQL and data pipeline development
- Experience 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
- Experience designing, building, and deploying ML systems in production environments
Responsibilities
- Build production ML systems that detect fraud and abuse patterns across Netflix's global member base and device ecosystem
- Deploy real-time inference systems that provide security signals to authorization and policy engines
- Solve challenges including unlabeled/mislabeled data, highly imbalanced datasets, concept drift, and evasion attacks
- Design metrics and observability to measure model performance and security impact in production
- Build scalable solutions to automate security decisions by creating ML-driven policies that balance security, member experience, and business needs
- Collaborate cross-functionally with security engineers, data scientists, infrastructure teams, and product managers to deliver end-to-end solutions
- Develop and deploy ML models using modern ML frameworks and programming languages such as Python or Java
Other
- 5+ years of industry experience
- Passionate about protecting Netflix customers & products
- A strong communicator & collaborator in varying contexts & environments
- Operate effectively across teams and disciplines in highly ambiguous and rapidly changing environments
- Ability to work in an equal-opportunity environment that celebrates diversity and does 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
