Machine Learning Engineer, Presentation and Visual Optimization
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
• 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