Machine Learning Engineer III, Routing Cost

Mapbox
Germany
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 8-10 yearsSkills: ["Leadership","Mentorship","Communication","Problem-solving","Collaboration"]

Lead the design, development, and delivery of high-traffic ML-driven routing cost recommendations within Mapbox's Routing Cost team. Build and optimize ML/data pipelines, create QA/data exploration tools, apply geospatial algorithms, collaborate with data scientists, and mentor engineers while participating in on-call rotations to keep systems available 24/7.

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FursaFursa
Mapbox
Mapbox
8 months ago

Machine Learning Engineer III, Routing Cost

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Lead the design, development, and delivery of high-traffic ML-driven routing cost recommendations within Mapbox's Routing Cost team. Build and optimize ML/data pipelines, create QA/data exploration tools, apply geospatial algorithms, collaborate with data scientists, and mentor engineers while participating in on-call rotations to keep systems available 24/7.
Location: Germany
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers).
  • •Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines.
  • •Build tools for automated quality assurance and data exploration.
  • •Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms.
  • •Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic

Key Requirements

  • •8-10+ years of backend and ML experience
  • •Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets; statistical analysis, data quality control, optimizing storage
  • •Extensive cloud experience; deploying and managing infrastructure in cloud environments
  • •Mentorship and leadership in engineering teams; code and design reviews
  • •Strong written and verbal communication skills; ability to lead cross-functional technical discussions
Experience:8-10 yearsBackendMachine learningRouting
Skills:LeadershipMentorshipCommunicationProblem-solvingCollaboration
Tech Stack:PythonHadoopSparkAirflowDaskAWSCloudGeospatial

Company Brief

Mapbox
Provides a location platform of maps, APIs, SDKs and data for developers and enterprises to build custom maps, navigation, and location-aware applications across mobile, web, logistics, and automotive use cases.
Industry: API Platforms
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Washington, United States
Founded: 2010
Glassdoor
Glassdoor: 3.7
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