Machine Learning Engineer 5 - Platform Forecasting & Optimization
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.
As a Machine Learning Engineer (MLE), you will join a data org of MLEs, Analytics Engineers, and Data Scientists who partner with our infrastructure engineering teams to improve the performance, reliability and efficiency of our infrastructure systems. You will work closely with machine learning and software engineers to forecast traffic and demand on our systems, and to build models that optimize our capacity and traffic steering decisions.
The ideal candidate will excel in the end to end lifecycle of designing, developing and maintaining machine learning models. They will also have experience in solving infrastructure problems on large, distributed cloud systems (e.g. AWS) such as traffic forecasting, capacity planning, traffic management,
To learn more about our broader team, read here.
In this role, you will:
Forecast and predict key business and technical inputs such as traffic volume and resource demand across our fleet of cloud services and systems
Build, update and maintain machine learning models to optimize our infrastructure footprint on topics such as capacity planning, autoscaling, loadshedding, and traffic steering
Own the end-to-end model lifecycle including ideation, feature building, training, evaluation, monitoring and continuous improvement
Partner with software engineers to identify high value opportunities to apply modeling techniques to improve the performance of infrastructure management systems
Partner with ML engineers and data scientists on model observability initiatives and experimentation to improve model design
Live Netflix values while bringing a new perspective to continue improving our culture
You are:
Experienced in developing and implementing machine learning models with a successful track record of driving business impact. Deeply familiar with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
Experienced in and motivated by the infrastructure domain, having worked on large distributed infra systems on topics such as demand forecasting, capacity planning, traffic steering, load balancing, etc.
An exceptional thought partner with strong communication skills, able to explain complex technical concepts clearly to cross-functional partners and business leaders
Comfortable with ambiguity, with a strong ownership mindset, and thrive with minimal oversight and process
A strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow. Experience with languages like Java or C++ is a plus.
Familiarity with optimization models with standard frameworks/solvers (e.g., XPress, cvxpy, Gurobi) is a plus.
Familiarity with operational tooling for ML services (monitoring, alerting, etc.), and services for model hosting/serving.
Generally, 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 $170K - $720K. 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. Netflix is a unique culture and environment. Learn more 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.
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Machine Learning Engineer 5 - Platform Forecasting & Optimization
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.
As a Machine Learning Engineer (MLE), you will join a data org of MLEs, Analytics Engineers, and Data Scientists who partner with our infrastructure engineering teams to improve the performance, reliability and efficiency of our infrastructure systems. You will work closely with machine learning and software engineers to forecast traffic and demand on our systems, and to build models that optimize our capacity and traffic steering decisions.
The ideal candidate will excel in the end to end lifecycle of designing, developing and maintaining machine learning models. They will also have experience in solving infrastructure problems on large, distributed cloud systems (e.g. AWS) such as traffic forecasting, capacity planning, traffic management,
To learn more about our broader team, read here.
In this role, you will:
Forecast and predict key business and technical inputs such as traffic volume and resource demand across our fleet of cloud services and systems
Build, update and maintain machine learning models to optimize our infrastructure footprint on topics such as capacity planning, autoscaling, loadshedding, and traffic steering
Own the end-to-end model lifecycle including ideation, feature building, training, evaluation, monitoring and continuous improvement
Partner with software engineers to identify high value opportunities to apply modeling techniques to improve the performance of infrastructure management systems
Partner with ML engineers and data scientists on model observability initiatives and experimentation to improve model design
Live Netflix values while bringing a new perspective to continue improving our culture
You are:
Experienced in developing and implementing machine learning models with a successful track record of driving business impact. Deeply familiar with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
Experienced in and motivated by the infrastructure domain, having worked on large distributed infra systems on topics such as demand forecasting, capacity planning, traffic steering, load balancing, etc.
An exceptional thought partner with strong communication skills, able to explain complex technical concepts clearly to cross-functional partners and business leaders
Comfortable with ambiguity, with a strong ownership mindset, and thrive with minimal oversight and process
A strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow. Experience with languages like Java or C++ is a plus.
Familiarity with optimization models with standard frameworks/solvers (e.g., XPress, cvxpy, Gurobi) is a plus.
Familiarity with operational tooling for ML services (monitoring, alerting, etc.), and services for model hosting/serving.
Generally, 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 $170K - $720K. 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. Netflix is a unique culture and environment. Learn more 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.