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Netflix Research Engineer L5 - Growth Commerce United States, California 571766185
23.06.2024
As a Senior Research Engineer, you will join this team of stunning Data Scientists, Analytics Engineers and ML Scientists to lead the development of algorithmic & ML driven experience optimization systems
ML for Growth & Commerce experiences is a relatively greenfield area, with potential for several 0-1 applications that can drive millions of dollars of impact at Netflix’s scale. You will be responsible for operating, as well as innovating on, these algorithms in production, and validating through running offline experiments, and building online A/B tests to run in production systems. You’ll partner with other ML engineers, scientists and product managers on cross-functional ML initiatives. You’ll spot gaps in how we’ve done things before, and you’ll find a better way to do them.
To be successful in this role, you’ll bring a solid machine learning background, strong software development skills, rapid learning velocity, a burning desire for impact and a passion for solving problems end-to-end. You will need to demonstrate strong communication and leadership skills, an ability to set priorities, and a strong bias to action in a dynamic environment.
In this role, you will:
- Design, implement and operate high impact machine learning models in Growth & Commerce
- Partner closely with cross-functional Growth leads and business analysts to identify high value applications of machine learning, translating business intuition into data-driven solutions
- Work closely with scientists and engineers on detailed requirements and implementation of end-to-end solutions at scale
- Inform and influence the development of better infrastructure for developing and deploying ML models
- Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
What you’ll bring:
- Deep end-to-end ML experience with a strong track record of deploying successful ML solutions
- Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
- Ability to deal with ambiguity; a strong ownership mindset, and a desire to thrive on minimal oversight and process
- Willingness to learn and rapidly absorb business context in the complex payments ecosystem
- Strong experience in a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow)
- Excellent software engineering skills in multi-language settings with Scala, Java, and Python
- PhD or Masters in Computer Science or related field preferred
- Experience with causal ML or reinforcement learning is a plus
- Experience with Growth, Notifications or other Targeting systems is a plus
What you’ll learn:
- Innovation and partnership on a global scale, navigating the balance of technical rigor with business requirements
- Incubating and scaling new areas of ML within a highly successful product
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 $170,000 - $720,000.
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