ML Engineer, Personalization & Recommendations (Hybrid Irvine)

Comcast Technology Solutions; Irvine (CA); Hybrid; USD 143,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Comcast Technology Solutions’ XUMO team seeks an experienced ML Engineer to design and train machine learning models for a next-generation streaming platform, focusing on personalization and the recommendation system across devices. You will work with Python, BigQuery, and modern ML frameworks to build and optimize algorithms, lead model training and evaluation, and drive deployment.

Collaboration with product and operations is essential to translate business needs into scalable solutions.

Qualifications

• Experience designing ML models for product integration.
• Leading training of ML models and deployment into production.
• Designing and developing data pipelines with validation and monitoring.

Responsibilities

• Develop ML algorithms for product integration and data pipeline architectures.
• Lead the training of machine learning models, overseeing validation and deployment into production systems.
• Create and maintain data pipelines, ensuring data ingestion, validation, cleaning and monitoring.

Skills

Algorithms

Recommendation Engines

Collaboration

Business Problems

Education

Bachelor's Degree

Job description

Comcast Technology Solutions’ XUMO team seeks an experienced ML Engineer to design and train machine learning models for a next-generation streaming platform, focusing on personalization and the recommendation system across devices. You will work with Python, BigQuery, and modern ML frameworks to build and optimize algorithms, lead model training and evaluation, and drive deployment.

Collaboration with product and operations is essential to translate business needs into scalable solutions.