Netflix is looking for a senior machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix, using the company's unique media data to drive decisions across content strategy, acquisition, scheduling, and advertising.
Requirements
- Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
- Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
- A passion for scaling your ML solutions in collaboration with your team. You seek to build modularly, for resilience, and in ways where others can take on your code when you’re away.
- An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
- Relevant experience in one or more machine learning roles.
Responsibilities
- Innovate on a suite of predictive models to help inform our content strategy.
- Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
- Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
- Develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.
- Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
- Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
- Translate ambiguous problem spaces into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
Other
- Live Netflix values while bringing a new perspective to continue improving our culture.
- Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
- An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
- An appreciation of the creative and entertainment industry is definitely a plus.
- 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.
