Mapbox seeks a Software Development Engineer III to design, implement, and operate scalable, high-volume, low-latency backend services and distributed ETL pipelines for Maps APIs. The role expects 8+ years of experience, strong skills in Python/Node.js, native AWS services (CDK, ECS, Lambda, S3, RDS, CloudWatch, CloudFront, Step Functions), geospatial experience, and responsibilities including technical leadership, mentoring, testing, monitoring, and on-call support.

Lead and deliver backend services and microservices for Mapbox Maps API, focusing on scalable, low-latency systems, distributed ETL pipelines, monitoring, testing, and operational excellence. Requires ~8+ years experience and proficiency with Python, Node.js, AWS (CDK, ECS, Step Functions, Lambda, S3, RDS, CloudWatch, CloudFront); geospatial/mapping experience is expected.

Mapbox seeks a Machine Learning Engineer III to lead engineering work for the Routing Cost team, building and optimizing ML and data pipelines, recommendation systems, and geospatial algorithms for the routing cost engine. The role requires ~8+ years of backend and ML experience, strong Python and distributed processing experience (Hadoop, Spark, Airflow, Dask), cloud/infrastructure proficiency (including AWS), mentoring experience, and participation in an on-call rotation. Location: Mapbox UK.

Lead design, build, and delivery of high-traffic ML and data pipelines for the routing cost/recommendation systems. Requires extensive experience (8+ years) in backend and ML engineering, Python, distributed processing (Hadoop, Spark, Airflow, Dask), large-scale data handling, cloud infrastructure (AWS), geospatial algorithms, and operational on-call participation. Responsibilities include mentoring, code/design reviews, and cross-functional collaboration.

Lead design, development, and delivery of high-traffic recommendation systems and ML/data pipelines for Mapbox's routing cost engine. Work includes building and optimizing distributed processing pipelines, leveraging geospatial algorithms, creating automated QA and tuning tools, partnering with data scientists, mentoring engineers, participating in code/design reviews, and joining an on-call rotation. Requires extensive backend and ML experience (8+ years) and strong expertise with Python, distributed processing (Hadoop, Spark, Airflow, Dask), large datasets, and cloud infrastructure.

Work on Mapbox's EV charging infrastructure data platform: ingest and reconcile global charge point operator data, build scalable data pipelines and APIs, design data validation/quality systems, and develop internal tooling and dashboards. Role expects 3+ years of production Rust experience, hands-on experience building highly available services in container-based AWS environments (Docker, ECS, Fargate, or Kubernetes), knowledge of data engineering and distributed systems, and strong English communication.

Design, develop, and operate routing and logistics API services, including data consumption/storage, observability, metrics, experiments, and tooling. Role expects participation in end-to-end feature implementation, code/design reviews, on-call rotation (12/7), incident triage, and collaboration with product and sales engineering. Requires 5+ years experience in web services with Rust or TypeScript, experience with container-based environments (Docker, ECS, Kubernetes on AWS), knowledge of distributed systems, and strong English communication (B2+).

Mapbox is hiring a Machine Learning Engineer III to lead engineering efforts on the Routing Cost team. The role focuses on designing and building ML and data pipelines, leveraging geospatial algorithms, developing automated QA/data exploration tools, and partnering with data scientists to improve models (including reinforcement learning). The position is full-time, remote from any city in Germany, and expects 8+ years of backend and ML experience.