Overview
Lead the design, development and delivery of highly trafficked recommendation systems for the routing cost engine on the Routing Cost team within Mapbox's Navigation organization.
What you'll do
- Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers).
- Design and build new ML and data pipelines, and optimize existing ML and data pipelines.
- Build tools for automated quality assurance and data exploration.
- Leverage geospatial algorithms to optimize pipelines, and create automated tuning and outlier detection algorithms.
- Partner with data scientists to make improvements to models for determining patterns in movement and/or traffic.
- Mentor colleagues and participate in code and design reviews.
- Participate in an on-call rotation to keep systems available to customers 24/7, which may require immediate response outside normal working hours, including weekends.
What you'll need
- 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, including statistical analysis, data quality control and optimizing storage.
- Extensive experience with cloud and infrastructure services, including deploying and managing infrastructure in cloud environments.
- Experience mentoring and leading engineering teams and developing skill sets and career growth.
- Strong written and verbal communication skills, able to explain complex ideas concisely to a wide audience and lead org-wide technical discussions.
- Data-informed mindset, with the ability to make speedy decisions in the absence of perfect data.
Nice to have
- Passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team.
Details
- Location: Poland.
- Interview process includes discussion of how you use AI in your engineering workflow.
- Compensation: $102,000 - $153,000 USD annually.
Read the full description and apply on the company’s own careers page.