Lead Machine Learning Engineer
Description For Lead Machine Learning Engineer
Disney Entertainment & ESPN Technology is seeking a Lead Machine Learning Engineer to join their team responsible for developing, implementing, and maintaining Hulu's recommendation and personalization algorithms. This role offers an opportunity to work on cutting-edge machine learning solutions that impact millions of users daily across platforms like Disney+, Hulu, ABC News, and ESPN+.
The position involves leading recommendation and personalization algorithm research, development, and optimization while collaborating with Engineering, Product, and Data teams. You'll be working on large-scale real-time recommendation pipelines, developing ETL processes, and managing petabyte-scale datasets.
As a Lead ML Engineer, you'll be instrumental in shaping the future of Disney's media business through innovative technology solutions. The role combines technical expertise in machine learning with the opportunity to work on products that reach and delight millions of consumers every day. You'll be part of a team that's transforming how audiences experience sports, entertainment & news through groundbreaking products and techniques.
The position offers competitive compensation ranging from $164,500 to $241,600 depending on location, along with comprehensive benefits including medical coverage, bonus opportunities, and long-term incentives. This is an excellent opportunity for an experienced ML professional to make a significant impact at one of the world's leading entertainment companies while working on challenging technical problems at massive scale.
Responsibilities For Lead Machine Learning Engineer
- Develop and maintain recommendation and personalization algorithms
- Lead algorithm research, development, implementation, and optimization
- Develop and maintain ETL pipelines using orchestration tools
- Deploy scalable streaming and batch data pipelines
- Maintain algorithm development, testing, and deployment standards
- Collaborate with product and business stakeholders
Requirements For Lead Machine Learning Engineer
- Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering
- In-depth understanding of deep learning technology in recommendation system or NLP fields
- Proficiency in deep learning frameworks (tensorflow, pytorch)
- Experience with AWS, Docker, Airflow, Databricks, S3, and Spark
- Experience building and deploying full stack ML pipelines
- 7+ years of experience in developing highly scalable machine learning products
- 7+ years writing production-level, scalable Python code
Benefits For Lead Machine Learning Engineer
- Medical benefits
- Bonus opportunities
- Long-term incentives
- Financial benefits
