Related skills
tensorflow pytorch machine learning large-scale recommender systemsπ Description
- Design and manage search and recommendation services and models for content.
- Use ML-based personalization to improve content matching and distribution.
- Deep understanding of content-based recommender systems to drive AI product upgrades.
- Lead core content recommendation modules with data-driven strategies.
- Collaborate with content, business, and product teams to define success metrics.
π― Requirements
- PhD or MSc in ML, CS, or applied math, 5+ years in industry (content domain preferred).
- Hands-on with PyTorch or TensorFlow.
- Experience in large-scale app development, preferably content UIs.
- Excellent cross-team collaboration with global content teams.
- Publication record at top conferences or journals is a plus.
π Benefits
- Shape the future with the worldβs leading blockchain ecosystem
- Collaborate with world-class talent in a flat, user-centric org
- Tackle fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with career growth and learning
- Competitive salary and company benefits
- Work-from-home arrangement (may vary by team)
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