Machine Learning Engineer III, Routing Cost

The role

You will lead the design, development, and delivery of recommendation systems for the routing cost engine. You will build ML and data pipelines, create automated tools, and partner with data scientists to improve models.

What you will do

• Lead engineering teams 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 to ensure 24/7 system availability.

Required qualifications

• 8-10+ years of backend and ML experience.
• 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.
• Strong written and vocal communication skills.

Benefits

• Supportive health care
• Parental leave
• Flexibility for the things that come up in life

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.