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Machine Learning Engineer - Media Personalization — Amazon
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Machine Learning · Verified Opening #17

Machine Learning Engineer - Media Personalization

business Amazon location_on Culver City, CA (Hybrid) apartment Hybrid Full Time

Compensation

$140K – 195K/yr

bolt Apply for this role
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Published Date

3 weeks ago

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Work Arrangement

Hybrid • Culver City, CA

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Open Positions

2 openings

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Experience Level

Mid-Level

overview Role Overview

About the opportunity

Build deep recommendation and ranking models powering Prime Video homepage and search discovery.

Prime Video is seeking a Machine Learning Engineer to improve content recommendations for tens of millions of viewers. You will design two-tower neural networks, sequential transformer models, and real-time re-ranking systems that match viewers with their next favorite movies and series.
task Core Responsibilities

What you will do

  • check_circle Train two-tower candidate generation models and transformer-based sequential recommenders.
  • check_circle Implement real-time feature transformations with low latency using AWS ElastiCache and SageMaker.
  • check_circle Evaluate recommendation diversity, novelty, and retention impact via rigorous online experimentation.
  • check_circle Continuously iterate on loss functions balancing long-term engagement with cold-start title discovery.
verified_user Candidate Profile

What we are looking for

  • arrow_circle_right 3+ years experience building recommendation or information retrieval ML models.
  • arrow_circle_right Proficiency with Python, PyTorch or TensorFlow, SQL, and AWS services.
  • arrow_circle_right Deep grasp of collaborative filtering, metric learning, and offline evaluation protocols.
code_blocks Technologies & Competencies

Skills & Tech Stack

Recommendation Systems Two-Tower Models PyTorch AWS Python Ranking
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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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