Security ML Engineer (L5)
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The team you will join:
We leverage data and ML to identify anomalies, detect threats, and automate security decisions at Netflix scale. Our work defends against account compromise, content piracy, credential stuffing, DDoS attacks, and other forms of abuse. We process behavioral signals from hundreds of millions of devices globally to make real-time authorization and policy decisions.
If you've used Netflix, you've been protected by systems our team built. We collaborate closely with Product Security, Streaming Security Engineering, Data Science, and platform teams across Netflix. This blog post is a great way to learn about our work.
What you will work on:
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.
Desired skills & background:
Passionate about protecting Netflix customers & products.
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.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $190,000 - $920,000.
Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more detail about our Benefits here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do 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.
Job is open for no less than 7 days and will be removed when the position is filled.
About the job
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Security ML Engineer (L5)
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The team you will join:
We leverage data and ML to identify anomalies, detect threats, and automate security decisions at Netflix scale. Our work defends against account compromise, content piracy, credential stuffing, DDoS attacks, and other forms of abuse. We process behavioral signals from hundreds of millions of devices globally to make real-time authorization and policy decisions.
If you've used Netflix, you've been protected by systems our team built. We collaborate closely with Product Security, Streaming Security Engineering, Data Science, and platform teams across Netflix. This blog post is a great way to learn about our work.
What you will work on:
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.
Desired skills & background:
Passionate about protecting Netflix customers & products.
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.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $190,000 - $920,000.
Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more detail about our Benefits here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do 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.
Job is open for no less than 7 days and will be removed when the position is filled.