M

Mapbox

Geospatial mapping SDKs and APIs provider

Machine Learning Engineer 3 - Routing Cost

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in GermanyNo salary listed

About the Job

Requirements

  • At least 8 years of backend and machine learning experience, including experience with Reinforcement Learning.
  • Extensive experience with Python, distributed processing pipelines such as Hadoop, Spark, Airflow, and Dask, and very large datasets, including statistical analysis, data quality control, and storage optimization.
  • 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, including the ability to explain complex ideas concisely, lead and resolve organization-wide technical discussions, and collaborate with cross-functional teams across security, DevOps, data, compliance, and product.

Responsibilities

  • Lead engineering teams to execute end-to-end feature implementation within the larger navigation organization of approximately 80 engineers.
  • Design and build new machine learning and data pipelines, and optimize existing machine learning and data pipelines.
  • Build tools for automated quality assurance and data exploration.
  • Use geospatial algorithms to optimize pipelines and create automated tuning and outlier detection algorithms.
  • Partner with data scientists to improve models that determine patterns in movement and traffic.
  • Mentor colleagues and participate in code and design reviews.
  • Participate in an on-call rotation to maintain customer-facing system availability 24/7; team members alternate as primary responder, which may require immediate responses outside normal working hours, including weekends.
  • Own the technical vision, lead strategy, and guide the team in executing the routing cost engine roadmap.

Desired Qualifications

  • Experience with Reinforcement Learning.

About the Company

Mapbox

Geospatial mapping SDKs and APIs provider

Mapbox provides customizable geospatial mapping and location services for developers, businesses, and government agencies through a suite of APIs and SDKs. Its Maps SDKs embed custom maps in web and mobile apps; Navigation SDKs offer turn-by-turn routing; Vision SDKs interpret road scenes via device cameras; Traffic Data powers routing and analytics; Mapbox Boundaries visualizes global polygons; Movement analyzes where and when people move; Atlas lets clients run Mapbox on their own infrastructure offline or behind a firewall. The product works by developers integrating these SDKs/APIs into their apps to add maps, navigation, and location features, with usage- and subscription-based pricing. Mapbox differentiates itself with a broad, modular toolkit for geospatial features, strong offline/on-premises options, and a clear B2B focus. Its goal is to enable scalable, customizable location services for apps and services worldwide.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$614.2M
Headquarters
Washington DC, District of Columbia
Founded
2011

Recently Posted Jobs

Explore more opportunities at Mapbox

See more jobs