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Netflix Research Engineer L5 - Payments Partnerships United States, California 236433801
23.06.2024
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As a Senior Research Scientist, you will join this team of stunning Data Scientists, Machine Learning Scientists, Research Scientists, and Analytics Engineers. You’ll lead the development of ML models that improve member experience and efficiency for billions of payments transactions each year and stop fraud in real time. 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 researchers and engineers in Growth 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, 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:
- Develop high impact machine learning models in Payments and Growth
- Partner closely with Payments 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, often via collaboration with our Machine Learning Platform team
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
- Exceptional thought partnership, able to own direct relationships with stakeholders and build credibility through clarity and judgment
- 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, Statistics, or related field is a plus
- Knowledge of payments is a plus
What you’ll learn:
- Innovation and partnership on a global scale, navigating the balance of technical rigor with business requirements
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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