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Security ML Engineer – L5

Security EngineerSecurity EngineerFull TimeRemoteTeam 10,001+Since 1997H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

53 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishJavaPythonSparkSQL

Job Description

• 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.

Job Requirements

  • 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.
  • Operate effectively across teams and disciplines in highly ambiguous and rapidly changing environments.
  • A strong communicator & collaborator in varying contexts & environments.

Benefits

  • Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
  • We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
  • We approach diversity and inclusion seriously and thoughtfully.

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