Key skills
Machine learning engineeringBackend software engineeringPythonPyTorchTensorFlowSQLDistributed data processingSparkDatabricksVersion controlCI/CDProduction-grade codeMulti-Armed BanditsReinforcement LearningComputer VisionImage processingCloud InfrastructureAWSGCPAzureAutonomous deliveryConstructive feedbackMachine LearningMLVersion Control
About this role
Paramount is on a mission to unleash the power of content, and they are seeking a Machine Learning Engineer to join their Presentation pod. In this role, you will implement and scale ML systems that optimize how content is displayed, focusing on user attention through various features and components.
Responsibilities:
- Design and implement specific solutions for Multi-Armed Bandit (MAB) systems and visual feature pipelines
- Own the end-to-end implementation of defined tasks, from data ingestion to production deployment, with moderate autonomy
- Proactively identify and fix bottlenecks in team systems to improve quality, reliability, or engineering velocity
- Participate actively in design and code reviews, providing constructive feedback and ensuring high technical standards within your scope
- 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
- Experience owning and delivering technical features or components autonomously
- Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow
- Strong skills in SQL and experience with distributed data processing (e.g., Spark or Databricks)
- 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