Senior Machine Learning Engineer, Forecasting

📋 Description

• Collaborate closely with engineering, product, and data science teams to understand business
• Develop tools and automate manual processes to improve operational efficiency, accelerate
• Build, integrate, and monitor the end-to-end lifecycles of large-scale, distributed machine
• Investigate model performance and identify data quality and performance issues
• Enhance the ML pipeline for the forecasting platform, managing weekly automated model retraining
• Elevate the team's technical capabilities in MLOps best practices, automation, and production ML

🎯 Requirements

• 5+ years of experience building and maintaining production ML systems, with deep expertise in
• Strong software engineering skills with proficiency in Python, containerization
• Production ML deployment experience including model training orchestration (Dagster, Airflow, or
• Systems design expertise with experience building scalable microservices, API design, and managing
• Ownership mentality with a track record of driving projects from concept to production, maintaining
• Excellent collaboration skills working with data scientists to productionize research, with backend

🎁 Benefits

• Competitive salary and stock options
• Flexible vacation policy and a culture that values time for rest and recharging
• Remote-first work environment with unique virtual and in-person events to foster team connection
• Comprehensive health, dental, and vision insurance—we're a healthcare company that prioritizes your
• 16 weeks of parental leave for all parents