Netflix's Production Science team needs an ML Engineer to develop, optimize, and deploy models that integrate with internal studio workflows, augmenting financial and operational decisions for content planning, budgeting, scheduling, and financial forecasting.
Requirements
- You have a strong foundation in machine learning, including supervised and unsupervised learning, and model evaluation.
- You have a track record of deploying performant and scalable data-intensive applications.
- You have a strong understanding of feature engineering, data pipelines, and model lifecycle management.
- You are proficient in Python and have experience with ML frameworks such as PyTorch, or Jax.
- You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature to new challenges.
Responsibilities
- Design, maintain, automate, and optimize ML training pipelines and realtime model serving infrastructure.
- Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models.
- Collaborate closely with ML scientists and engineering teams to integrate deployed models into studio applications.
- Develop new ML solutions to extract information from studio artifacts like scripts, budgets, cost reports, and schedules.
- Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency.
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, artificial intelligence or computer vision.
- You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
- You are highly collaborative and thrive in dynamic environments, contributing positively to the team and company 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.
- 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.
