Data Scientist / Computer Vision Engineer

About this role

Traverse is augmenting white collar professional engineering by 10x: from site investigations to singular project optimizations to country scale simulations. We are empowering civil, mechanical and electrical engineers do the most creative part of their job - that of exacting engineering judgement by removing all the frictional and tedious work involved in designing highways, power plants, transmission lines, pipelines, data centers and EV charging networks.

In this role, you will be shadowing such engineers and working closely within the team to modularize and automate their workflows:

• You will work on methods to extract and clean unstructured data - sometimes all you will have are scanned PDFs.
• You will implement efficient algorithms, primarily of a geospatial nature, that evaluates billions to trillions of project permutations that span across countries and continents.
• You will work on statistics and probabilities of datasets in n-dimensions.
• You will research and implement into production 3D reconstruction of outdoor locations using well known state of the art models.
• You will research and implement computer vision of aerial acquired imagery.
• You will manage ML training and production pipelines.

We’re looking for someone who

• Has 5-7 years experience in software development.
• Has 1-2 years of ML and computer vision experience.
• Can pick up new programming languages quickly.
• Demonstrated ability to learn and work independently and make decisions with minimal supervision.
• Demonstrated ability to collaborate and iterate with non-software stakeholders to design solutions.
• Cares deeply about users, customers and team work more so than frameworks and language.
• Has key traits of humility, curiosity, growth and nice-ness.

You're excited about us because we offer

• Competitive compensation as well as equity.
• Perks: insurance, commute, meals, phone bill.
• A chance to revolutionize professional engineering and reduce the cost and risks associated with deploying infrastructure on a global scale.

Equal Opportunity

Traverse provides equal employment opportunity (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.