Senior ML Engineer: Recommendation Systems (Hybrid, Irvine)

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

Job summary

Comcast Corporation in Irvine, CA seeks a seasoned Machine Learning Engineer to design, train, and deploy ML models powering personalized recommendations. The role spans modeling, data pipelines, evaluation, and cross-team integration in a hybrid office setting.

Expect 5–7 years of experience with Python/R, BigQuery, and databases. You’ll mentor juniors and drive the core recommendation system across teams with a focus on performance and scalability.

Qualifications

• 3+ years of experience using statistical languages (Python, R, etc.).
• 3+ years of experience manipulating big data (BigQuery, etc.).
• 3+ years of experience operating databases (MySQL, PostgreSQL, Oracle, MongoDB).
• Experience with clustering, decision tree learning, and artificial neural networks.
• Experience with advanced statistical techniques and concepts such as regression and statistical tests.
• Excellent written, drawing, and verbal communication for cross-team coordination.
• Office-based in Irvine, CA, 4 days/week in office and 1 day remote.

Responsibilities

• Develop and improve machine learning algorithms for integration across products and applications.
• Lead training of machine learning models, including validation and deployment into production systems.
• Create and maintain data pipelines for ingestion, validation, cleaning, and monitoring.
• Produce documentation and technical requirements, including evaluation plans and reports.
• Collaborate with cross-functional teams to provide technical solutions for complex issues.
• Provide guidance and mentorship to junior engineers and set a technical example.

Skills

Collaboration

Algorithms

Recommendation Engines

Business Problems

Education

Bachelor's Degree

Job description

Comcast Corporation in Irvine, CA seeks a seasoned Machine Learning Engineer to design, train, and deploy ML models powering personalized recommendations. The role spans modeling, data pipelines, evaluation, and cross-team integration in a hybrid office setting.

Expect 5–7 years of experience with Python/R, BigQuery, and databases. You’ll mentor juniors and drive the core recommendation system across teams with a focus on performance and scalability.