Machine Learning Engineer III, Search Data

Mapbox, the leading real-time location platform serving over 3.5 million developers, is seeking a Machine Learning Engineer III to join their Search Data team. This role presents an exciting opportunity to work on crucial search functionality that powers navigation experiences worldwide.

The position involves working with massive datasets (up to 1TB) containing hundreds of millions of records, focusing on address, place, and points of interest (POI) data for global searches. As a key member of the Search Data team, you'll be responsible for building new datasets and pipelines specifically designed for in-vehicle navigation applications.

The role combines advanced machine learning engineering with practical applications in geospatial data processing. You'll be working with specialized datasets including addresses, road networks, buildings, and POIs, while developing and operationalizing ML models to enhance search capabilities. The position requires both technical expertise and leadership skills, as you'll be mentoring other engineers and participating in design and code reviews.

Key technical requirements include 9+ years of industry experience with ML models in production, proficiency in languages like Python, Scala, or Java, and strong SQL skills. Experience with AWS technologies (Glue, EMR) and PySpark is essential. The role offers competitive compensation ranging from $195,500 to $264,500 for most US locations, with higher ranges for high-cost areas.

Mapbox values diversity and inclusion, offering supportive benefits including healthcare, parental leave, and flexible work arrangements. The company emphasizes a teaching and learning environment, making it an ideal place for continuous professional growth. This remote position offers the opportunity to work on challenging problems while contributing to a platform that powers location services for businesses worldwide.