Machine Learning Engineer III, Routing Cost

The role

You will lead the design, development, and delivery of recommendation systems for the routing cost engine. This involves building ML and data pipelines, leveraging geospatial algorithms, and mentoring colleagues.

What you will do

• Lead the engineering team to execute end-to-end feature implementation
• Design and build new ML and data pipelines
• Optimize existing ML and data pipelines
• Build tools for automated quality assurance and data exploration
• Leverage geospatial algorithms to optimize pipelines
• Create automated tuning and outlier detection algorithms
• Partner with data scientists to improve models for movement and traffic patterns
• Mentor colleagues and participate in code and design reviews
• Participate in an on-call rotation

Required qualifications

• 8-10+ years of backend and ML experience
• Experience with Reinforcement Learning
• Extensive experience with Python
• Extensive experience with distributed processing pipelines (Hadoop, Spark, Airflow, Dask)
• Extensive experience with very large datasets
• Experience with statistical analysis, data quality control, and optimizing storage
• Extensive experience with cloud and infrastructure services
• Experience deploying and managing infrastructure in cloud environments
• Experience mentoring and leading engineering teams

Benefits

• Private health, dental, and income protection plans
• Family care, maternity and paternity leave policies
• Lifestyle Spending Account
• Mental health support for you and your dependents
• Paid time away
• Company holidays
• Generous absence policies
• Dedicated paid volunteering time

Before you apply

• Interview process will include discussion of how you use AI in your engineering workflow

About the company

Mapbox is a real-time location platform that provides tools to power navigation for people, packages, and vehicles. The Navigation team develops web services for consumer, automotive, and logistics verticals.