Machine Learning Engineer

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Develop models for personalizing Channel, Guide, and Schedule.

• Design and implement machine learning components for channel ranking and guide customization.

• Utilize linear scheduling data to create features that enhance relevance between current and upcoming programs.

• Employ Qdrant to cluster similar channels and content.

• Train and refine TensorFlow/PyTorch models concentrating on session-start and watch-time metrics.

• Take ownership of specified tasks from data exploration to production deployment.

• Convert the electronic programming guide into a personalized, data-driven discovery platform.

⛳️ Requirements

• At least 3 years of experience in Machine Learning Engineering (MLE).

• Strong proficiency in Python and SQL.

• Familiarity with TensorFlow and PyTorch.

• Experience with Google Cloud Platform (GCP).

• Preferred knowledge of FAST or Broadcast TV data structures.

• Experience with Qdrant or other similar vector databases is a plus.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• Life insurance coverage.

• Disability benefits.

• Tuition assistance program.

• Paid time off (PTO).

• Bonus eligibility.

• Opportunities for both on-site and virtual engagement events.

• Chances to create meaningful connections and foster a vibrant community.

• Reasonable accommodations for qualified individuals with disabilities or disabled veterans.