Machine Learning Engineer, Mapbox
Traffic
Location data platform for web and mobile
Job no longer available
Location data platform for web and mobile
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To power navigation for people, packages, and vehicles everywhere.
Role
Who you are
- Ability to write approachable, performant code with comprehensive tests and thorough documentation
- Excellent communication skills, both written and verbal
- Experience building and maintaining data pipelines with large datasets
- Experience designing & building systems at scale using AWS infrastructure
- A highly autonomous and self-driven approach
- A solid engineering foundation with an interest in geospatial data and big data analysis
- Comfort being vulnerable when you don’t know the answer, and knowing how to ask for help
- Ability to communicate how complex systems work to both engineers as well as customers or business stakeholders
- Experience & enthusiasm for mentoring teammates, providing technical feedback, and sharing knowledge with others
- Python
- Experience with distributed processing pipelines (Hadoop, Spark, Airflow, Dask)
- AWS infrastructure (e.g., S3, EMR, ECS, Athena, Lambda, DynamoDB, IAM)
- Building secure and stable APIs
- Experience working with very large datasets – statistical analysis, data quality control, optimizing storage
What the job involves
- As a ML engineer, You will be responsible for architecting, building, and maintaining production systems for Mapbox’s Traffic or Movement products and ML Engine
- Designing and building new ML and data pipelines, as well as optimizing existing ML and data pipelines in Python and Spark/PySpark
- Building tools for automated quality assurance and data exploration
- Designing and building APIs for delivering data to customers
- Leveraging geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms
- Partnering with data scientists to make improvements to our models for determining patterns in movement and/or traffic
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends
- Collaborate with other teams within Mapbox to expand use of location telemetry data throughout the company
- Mentor colleagues, especially with respect to Spark optimization and best practices
- Participate in code and design reviews
- There are also ample opportunities to act as an evangelist in the larger community by writing blog posts, engaging with our community partners and journalists to help them make the best use of our data, and collaborating with our academic partners on white papers
Salary benchmarks
Our take
Location data platform Mapbox provides custom online maps for an impressive list of apps and websites including Facebook, IBM, Lonely Planet, and Snapchat. It has more than 3.5 million registered developers using its toolkit because of the platform's flexibility, security, and privacy, and has rapidly expanded to become a leading provider of custom map services, competing with companies like Google and Here.
Its more flexible and less costly service is winning it a real edge - and some major Google clients, like Foursquare, who defected in 2012. Its service Mapbox Dash uses the increasingly popular what3words service to offer highly accurate dashboard navigation. Mapbox Dash has already been integrated into General Motors vehicles as Maps+, indicating significant industry support for Mapbox’s software - and a strong strategic eye for new ways of embedding itself into lucrative markets.
Such a promising performance helped Mapbox reach Unicorn status, and more recently secure a strategic partnership with Toyota Motor Europe to provide its maps and location platform in a number of its car models. Paired with its work in digital twinning with Snowflake and recent partnerships with Michelin Mobility, it's clear that Mapbox is doing exciting and important work on a service that has promising, multi-industry applications in a market expected to reach $33.18 billion by 2027.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Sep 2023
$280m
GROWTH EQUITY VC
May 2020
$107m
SERIES D
Total funding: $614.2m
Company benefits
- Medical, dental, and vision insurance premium coverage for our team and generous premium contributions for all dependents
- 401(k)/Roth
- Additional mental health and mindfulness solutions along with a quarterly benefit dedicated toward your wellness expenses
- Everyone is encouraged to take a minimum of three weeks accrued vacation per year (with no maximum), in addition to the week off between Christmas and New Years Day
- Generous paid time off, flexible return to work and a financial contribution when your family grows
Company HQ
Connecticut Ave/ K Street, Washington, DC
Leadership
Eric Gundersen
(Chair of the Board)Having studied at American University, Eric spent 7 years at Development Seed, leaving his President role in 2010 to co-found Mapbox as CEO.
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