Senior Telemetry ML Engineer

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 3.9 million registered developers have chosen Mapbox because of the platform’s flexibility, security, and privacy compliance. Organizations use Mapbox applications, data, SDKs, and APIs to create customized and immersive experiences that delight their customers.

What We Do

Mapbox's Telemetry team is where innovation meets real-world problem-solving. We leverage location telemetry data from our mobile SDKs to enhance map accuracy, optimize directions, refine Estimated Time of Arrival (ETA) predictions, and predict better traffic congestion. Our efforts provide critical insights into human mobility patterns, supporting advances in urban planning, logistics, and transportation.

Each day, we build and deploy pipelines that process, anonymize, and analyze billions of location data points, creating unique, privacy-centric datasets on traffic patterns and human activity. Our services cater to a diverse clientele, from major corporations and local governments to NGOs and small developers, with a commitment to making data accessible to all.

Our team consists of data scientists, data engineers, and backend engineers from across the globe. We share a dedication to close collaboration, mutual learning, and a fascination with harnessing geospatial data to drive meaningful insights.

To see some examples of our work, check out some of our blog posts:

• How location data becomes traffic data

• Tracking how COVID changed mobility patterns throughout the world

• Shopping and sunbathing: how America responds to quarantine

• Tracking retail recovery using Movement data

• Using Movement data to analyze airport traffic

What You'll Do

As our Machine Learning Engineer, your impact will be far-reaching. You will:

• Architect, build, and maintain scalable production systems for Mapbox’s Traffic and Movement products using ML. Your expertise will directly improve ETA accuracy, predict better traffic congestion, and provide deep insights into human mobility patterns.

• Apply your ML experience, geospatial chops, Graph Neural Networks (GNNs), Deep Learning techniques, and time series data analysis to refine our services and solutions.

• Design, optimize, and manage ML and data pipelines using cutting-edge frameworks like TensorFlow, PyTorch, Keras, and Spark/PySpark.

• Develop and implement ML models with a focus on scalability and performance, using tools like AWS Sagemaker.

• Create automated tools for ML quality assurance and data exploration, ensuring the highest levels of data accuracy and reliability.

• Design and build secure, robust APIs to deliver data insights to our diverse customers.

• Collaborate with data scientists to improve our models for identifying and predicting patterns in movement and traffic.

• Participate in an on-call rotation, providing round-the-clock system availability to our customers.

What We Believe are Important Traits for This Role

• Proficiency in Python and experience with distributed processing pipelines.

• A strong background in Machine Learning or Deep Learning, Graph Neural Networks (GNNs), time series analysis.

• Experience applying machine learning techniques to solve real-world problems.

• Familiarity with ML frameworks like TensorFlow, PyTorch, Keras, and AWS Sagemaker.

• In-depth knowledge of geospatial data, algorithms, and location-based services.

• Experience with MLOps tools and practices.

What We Value

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

• We value high-performing creative individuals who dig in