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Machine Learning Engineer, Presentation and Visual Optimization

Remote · Sri Lanka Full-time

Job Description:

  • Own the Visual Gateway: Deliver the features that identify the first thing millions of users see when they open our apps.
  • Drive Systematic Quality: Improve the reliability and velocity of our experimentation systems, ensuring our visual tests are statistically sound and performant.
  • Scale Discovery: Build the components that allow us to personalize the 'look and feel' of the platform, not just the content list.
  • Feature & Component Ownership: Design and implement specific solutions for Multi-Armed Bandit (MAB) systems and visual feature pipelines.
  • Self-governing Delivery: Own the end-to-end implementation of defined tasks, from data ingestion to production deployment, with moderate autonomy.
  • System Optimization: Proactively identify and fix bottlenecks in team systems to improve quality, reliability, or engineering velocity.
  • Collaborative Quality: Participate actively in design and code reviews, providing constructive feedback and ensuring high technical standards within your scope.
  • Data-Driven Execution: Set up and monitor online experiments (A/B tests and bandit rollouts) to measure the impact of presentation features on user interaction.

Requirements:

  • 3+ years of experience in machine learning engineering or backend software engineering.
  • Proven Delivery: Experience owning and delivering technical features or components autonomously.
  • Technical Stack: Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
  • Data Foundations: Strong skills in SQL and experience with distributed data processing (e.g., Spark or Databricks).
  • Engineering Rigor: Familiarity with version control, CI/CD, and writing production-grade, maintainable code.
  • Familiarity with Multi-Armed Bandits or Reinforcement Learning concepts.
  • Background in Computer Vision or image processing.
  • Experience in a high-scale streaming or e-commerce environment.
  • Experience with Cloud Infrastructure, including AWS, GCP, and Azure.

Benefits:

  • medical
  • dental
  • vision
  • 401(k) plan
  • life insurance coverage
  • disability benefits
  • tuition assistance program
  • PTO
  • bonus eligible

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