Security ML Engineer – L5

Netflix

full-time

Posted on: 1/21/2026

Location Type: Remote

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About the role

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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPythonJavasupervised learningunsupervised learninganomaly detectionclassificationstatistical modelingbig dataSQL

Soft Skills

collaborationcommunicationsystems thinkingproblem-solvingcuriosityadaptabilitycross-functional teamworkoperational effectivenessleadershipcreativity