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Salary: USD 102,000 - 153,000 / annual
Mapbox is the leading real-time location platform powering navigation for consumers, automotive, and logistics. The Navigation team develops and operates web services that support Mapbox's strategic navigation initiatives, spanning distributed systems on AWS, geospatial localization, traffic telemetry, and mapping. The team has launched products including MapGPT, Mapbox for EV, and 3D Live Navigation, partnering with automotive leaders like BMW, Toyota, and GM.
As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for the routing cost engine. You will lead engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). Key responsibilities include:
- 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 and create automated tuning and outlier detection algorithms
- Partner with data scientists to improve models for determining patterns in movement and traffic
- Mentor colleagues and participate in code and design reviews
- Participate in an on-call rotation to ensure system availability 24/7, including potential immediate response outside normal working hours and weekends
Mapbox values high-performing creative individuals who dig into problems, emphasizes teaching and learning, and is committed to building a diverse team. The company supports employees through comprehensive healthcare, parental leave, and workplace flexibility.
REQUIREMENTS:
- 8-10+ years of backend and ML experience with extensive hands-on expertise and strong track record
- Technical knowledge: extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets including statistical analysis, data quality control, and storage optimization
- Cloud proficiency: extensive experience with cloud and infrastructure services, including deployment and management in cloud environments
- Operational excellence: drive a culture of quality and continuous improvement; strong passion for clean code and robust architecture
- Ownership & execution: own technical vision, lead strategy, and guide team execution
- Customer focus: deep care for customer problems and commitment to innovation
- Growth mindset: humility to accept mistakes and learn from them
- Mentorship: experience mentoring and leading engineering teams to develop skills and career growth
- Strong written and vocal communication skills: ability to discuss complex ideas concisely, lead org-wide technical discussions, and collaborate with cross-functional teams (security, devops, data, compliance, product)
- Data-informed mindset: belief in data-driven decision making with instincts to make speedy decisions in absence of perfect data
