Description:

Mapbox is seeking a Senior Machine Learning Engineer to join the Search Data team, which supplies address, place, and points of interest data for global searches.
The role involves building new datasets and pipelines for in-vehicle navigation applications.
Responsibilities include processing batch data from thousands of sources, using ETL data pipelines, and ensuring high-quality products.
The engineer will work with specialized geospatial datasets, form data-driven hypotheses, develop ML models, run experiments, operationalize successful experiments, and monitor operational ML models.
The position also includes implementing automated quality metrics and mentoring other software engineers.

Requirements:

Candidates must have 9+ years of industry experience working with machine learning models in production.
A scientific mindset is essential, with the ability to collect data, formulate hypotheses, and create experiments to test those hypotheses.
Excellent documentation skills are required to keep records of analyses, hypotheses, experiments, and operational metrics.
Experience with AWS technologies, including Glue and EMR, is necessary.
Proficiency in SQL and at least one modern programming language (Python, Scala, or Java) suitable for machine learning and data processing is required.
Familiarity with PySpark and experience in integrating data with APIs and querying data through APIs is also needed.

Mapbox offers a supportive work environment that values high-performing creative individuals and encourages employees to be their whole selves at work.
The company provides supportive healthcare, parental leave, and flexibility for personal matters.
There is an emphasis on teaching and learning to equip employees with the necessary tools for success.
Mapbox is committed to growing a diverse team and encourages applications from individuals of all backgrounds, genders, ethnicities, abilities, and sexual orientations.
The annual base compensation for this role ranges from $195,500 to $264,500, with potential increases for higher-cost labor locations.