Senior Software Engineer, Full-stack ML & Geo Data

Summary

Join Aurora Solar's AI & Data team as a full-stack developer to maintain and enhance machine-learning infrastructure and geographic data services for efficient solar designs. Collaborate with machine-learning and geo experts, contributing to computer-vision pipelines. Maintain and improve backend infrastructure for ML and Geo systems. Develop and deploy intuitive frontend features, providing guidance to teammates. Take ownership of team services, including on-call rotation. Contribute to the development of the machine-learning pipeline, participating in code reviews and process improvements. Ensure application reliability through automated tests and debugging. Build tools that improve solar design accuracy and accessibility.

Requirements

• Academic background or equivalent skills in computer science or a related field, providing a solid foundation for your contributions
• 3+ years of hands-on experience with Python and backend web development (such as Ruby on Rails), showcasing your ability to build robust and scalable systems
• 1+ years of experience crafting engaging user interfaces with JavaScript, TypeScript, and React, demonstrating your full-stack capabilities
• 1+ years of experience with GraphQL
• Familiarity with computer vision & machine learning concepts
• Demonstrated skills in design, development, technical documentation, architecture, build systems, code refactoring, and testing, showcasing your commitment to writing clean, efficient, and well-tested code
• Effective communication skills, including: describing complex concepts in a clear manner, providing concise project updates to the team, providing actionable comments in code reviews
• Effective collaboration skills in pairing with other developers, jointly developing a project proposal, and code reviews
• Strong alignment with Aurora's values and a passion for being a part of the renewable energy revolution

Responsibilities

• Maintain and improve backend infrastructure for ML and Geo systems, including evaluation, regression, test coverage, dataset storage & organization, model training & serving, and imagery & 3D data processing
• Develop and deploy intuitive frontend features, and share your expertise by providing guidance on teammates' projects
• Take ownership of team services, including participating in our on-call rotation to ensure our systems are always running smoothly
• Contribute your talents to the development of our cutting-edge machine-learning pipeline, actively participating in code reviews and process improvements that keep us at the forefront of innovation
• Guarantee the reliability of our application through automated tests and debugging
• Power our sustainable energy culture by building tools that make solar design more accurate and accessible, directly contributing to Aurora's mission of a solar-powered future

Preferred Qualifications

• Experience with AWS, Kubernetes, Git, PostgreSQL, or Docker
• Experience deploying and maintaining ML infrastructure in production
• Experience working with geospatial data pipelines (e.g. imagery and lidar)

Benefits

• Flexible PTO - Take the time when you need it
• Parental Leave - 16 weeks with 100% base salary + gradual return to work
• WFH Stipend - An initial $675 CAD(Non-engineers) or $1000 CAD (Engineering roles)
• Coworking Stipend - $400 CAD / month if you prefer to be at a coworking facility near you
• Energize Fridays - Company-wide days to log off and recharge
• Connectivity Stipend - Up to $125 CAD / month towards internet or phone
• Learning & Development - $970/annually to use towards professional development (You have to complete 90 days of employment to receive this stipend)
• Medical, Dental, and Vision - Aurora will cover 100% of premiums for employee-only and dependent coverage of our supplemental medical, dental, and vision plans