Machine Learning Engineer

About the team:\n- Drives business insights, strategic decision making, executive level and cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.\n- Works closely with product, design, marketing, customer success, and engineering teams to implement ML models that improve the customer journey in service to growth and efficiency.\n- Has a strong product focus and passion for using machine learning to solve real world problems.\n\nWhat you’ll do:\n- Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.\n- Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team.\n- Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly.\n\nWhat do we need from you?\n- 4+ years of industry experience in applied Machine Learning or closely related fields with a demonstrated track record of shipping and operating ML models in production.\n- Deep and demonstrated ability to traverse the full spectrum of ML life cycle: exploratory data analysis, feature engineering, data visualization, feature and algorithm selection, model experimentation, model training and validation, model serving, monitoring and retraining\n- Experience developing and implementing statistical and ML models to uncover patterns, trends, and predictions in areas such as revenue forecasting, churn analysis, personalization and recommendation, anomaly detection, or natural language processing.