Netflix is looking to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix, using unique media data to predict engagement, forecast title performance, and assess catalog strength.
Requirements
- You have a strong foundation in machine learning, including supervised and unsupervised learning, and deep learning architectures (e.g. recommendations, forecasting).
- You have a track record of deploying ML systems at scale, particularly in distributed training environments and high-performance inference.
- You have hands-on experience evaluating and monitoring machine learning systems in production.
- You have a strong understanding of feature engineering, data pipelines, and model lifecycle management for large-scale data processing problems using tools like Spark.
- You are proficient in Python and have experience with ML/DL frameworks such as PyTorch, MetaFlow, or Jax.
- You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature to new challenges.
Responsibilities
- Own and innovate upon ML models that predict how members engage with our content slate and future launching titles, helping inform a range of decisions across the content, studio, and advertising domains.
- Design, build, and deploy robust ML systems which scale to handle Netflix-sized data.
- Automate ML workflows for training, tuning, and deployment; enabling faster experimentation and productization.
- Optimize model performance and inference efficiency, ensuring scalability in high-throughput distributed environments.
- Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models.
- Collaborate with scientists, data engineers, and infrastructure teams to define project roadmaps, ensure alignment of goals, and drive integration with downstream applications.
- Transform research prototypes into high-quality production code, ensuring systems are maintainable, scalable, and performant.
Other
- You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning or artificial intelligence.
- You have at least 5 years of relevant industry experience designing and implementing ML solutions.
- You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical partners.
- You demonstrate Netflix values and bring new perspectives to continue improving our culture.
- 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.
