Senior ML Engineer, Routing & Data Pipelines

Mapbox; United Kingdom; Ibrido; GBP 90.000 - 150.000; Tempo pieno

Descrizione del lavoro

Mapbox is seeking a highly experienced Machine Learning Engineer III for the Routing Cost team. You will lead end-to-end feature delivery, build advanced ML and data pipelines, and partner with data scientists to optimize models for movement and traffic.

Expect on-call duties and leadership across a large engineering organization. The role emphasizes ownership, execution, and a customer-focused, data-informed approach, with significant emphasis on scalable, robust architecture and

Competenze

• 8-10+ years of backend and ML experience.
• Strong knowledge of Python and distributed processing pipelines.
• Experience with very large datasets, statistical analysis, data quality control, and storage optimization.
• Cloud proficiency including deploying and managing infrastructure in cloud environments.
• Ability to own technical vision, lead strategy, and guide teams to implement complex systems.
• Excellent written and verbal communication, and collaboration across cross-functional teams.

Mansioni

• Lead the engineering team to implement end-to-end features within the routing cost engine.
• Design and build ML and data pipelines, and optimize existing ones.
• Build tools for automated quality assurance and data exploration.
• Leverage geospatial algorithms to optimize pipelines and create tuning/outlier detection algorithms.
• Collaborate with data scientists to improve models for movement and traffic patterns.
• Mentor colleagues and participate in code and design reviews.
• Participate in on-call rotation to keep systems available 24/7.

Conoscenze

Backend engineering

ML engineering

Python

Distributed processing

Geospatial data

Strumenti

Hadoop

Spark

Airflow

Dask

Cloud infrastructure

Descrizione del lavoro

Mapbox is seeking a highly experienced Machine Learning Engineer III for the Routing Cost team. You will lead end-to-end feature delivery, build advanced ML and data pipelines, and partner with data scientists to optimize models for movement and traffic.

Expect on-call duties and leadership across a large engineering organization. The role emphasizes ownership, execution, and a customer-focused, data-informed approach, with significant emphasis on scalable, robust architecture and