Encora is hiring a
Senior ML Engineer

Summary

Join our team as an ML Engineer to design, implement, and deploy advanced machine learning models for dynamic pricing strategies and personalized product recommendations. Collaborate with cross-functional teams to ensure real-world impact and align with strategic business objectives.

Requirements

• Bachelor’s degree in Computer Science or related fields
• 5+ years of experience in machine learning engineering, recommendation systems, pattern recognition, data mining, or artificial intelligence
• Proficient in Python, SQL, and intermediate data engineering with tools such as MapReduce, Hadoop, Spark, Hive, and Big Data technologies
• Experience with ML frameworks such as scikit-learn, Keras, TensorFlow, PyTorch, PySpark, etc
• Experience in Databricks is preferred
• Strong grasp of the difference between data pipelines and ML pipelines
• Experience in building industry-standard recommender systems and pricing models
• Experience in MLOps, ML Engineering, and Solution Design

Responsibilities

• Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized product recommendations
• Develop, implement, and deploy ML models that improve consumer value from our products by leveraging user behavior and subscription data
• Engineer and maintain large-scale consumer behavioral feature stores, ensuring scalability and performance
• Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment
• Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure alignment with strategic objectives
• Create algorithms to optimize consumer journeys and increase conversion and monetization
• Design, analyze, and troubleshoot controlled experiments (e.g., Causal A/B tests, Multivariate tests) to validate and measure the effectiveness of solutions
• Apply an agile development mindset, focusing on constant iteration and improvement
• Balance high output quality with business practicality, recognizing the benefit of 'having something now' vs. 'perfection sometime in the future

Preferred Qualifications

• Experience working in a consumer or B2C space for a SaaS product/software provider
• Experience in developing recommendation systems and deep learning-based models
• Ability to solve ambiguous and complex problems, navigating uncertain situations, and breaking down challenges into manageable components