Amazon Athena, Amazon Elastic Compute Cloud-EC2, Amazon EMR, Amazon Simple Storage Service (S3), Apache Airflow, Apache Hadoop, AWS Glue, Effective communication skills, English Proficiency, Luigi, Machine learning techniques, MapReduce, PySpark, Python Programming, Spark Core, SQL
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 3.9 million registered developers have chosen Mapbox because of the platform’s flexibility, security, and privacy compliance. Organizations use Mapbox applications, data, SDKs, and APIs to create customized and immersive experiences that delight their customers.
What You'll Do
Joining us as a Machine Learning Engineer, you'll play a key role in one of the aspects of developing software and tech for improving map features, navigation, and high-definition maps. You'll bring your experience and skills to our exciting project within a competent, cross-functional, passionate, and self-organized team.
In this role, you can expect to:
What We Believe are Important Traits for This Role
Nice to have:
What We Value
In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:
By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy which is linked here.
Mapbox is an EEO Employer - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity
Mapbox is an American provider of custom online maps for websites and applications such as Foursquare, Lonely Planet, the Financial Times, The Weather Channel, Instacart Inc. and Snapchat. Since 2010, it has rapidly expanded the niche of custom maps, as a response to the limited choice offered by map providers such as Google Maps.