Software Engineer II, Machine Learning (Feature Platform)

## About the Role As a Software Engineer II, Machine Learning at Affirm, you will be part of the ML Feature Platform team, responsible for building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. The team's mission is to grow Affirm's business by creating a platform that empowers MLEs, Analysts, and decisioning teams to make better decisions. You will be working on complex problems, collaborating with a global team, and taking ownership of your growth.

The ML Feature Platform team owns multiple artifacts that in aggregate own the end-to-end flows for features. This includes feature creation, exploration, and serving, data storage, availability, and visibility, and offline backfilling infrastructure and platform improvements. Your work will have a direct impact on the everyday lives and capabilities of Affirm's end-users.

The company is looking for engineers who are passionate about ML enablement and believe that platform-level improvements can bring snowball effects across the company. As a remote-first company, Affirm offers flexibility and autonomy, allowing you to work from anywhere in Canada.

## What You Will Do - Design, develop, and launch backend systems that power Affirm's machine learning solutions - Collaborate with cross-functional teams to identify and prioritize project requirements - Develop and maintain large-scale data storage and processing systems - Work with data scientists and engineers to design and implement data pipelines and architectures - Participate in code reviews and contribute to the improvement of the codebase - Troubleshoot and debug complex issues in the platform - Develop and maintain automated testing and deployment scripts - Collaborate with the ML Training & Serving Platform team to create a seamless ML + Data flywheel - Participate in the development of the company's technical vision and strategy - Mentor and guide junior engineers in the team

## What We Are Looking For - 1.5+ years of experience as a software engineer - Proficiency in one of Python or Kotlin - Experience with building blocks of distributed systems, such as AWS, MySQL, and Kubernetes - Strong understanding of data storage, availability, and visibility - Experience with offline backfilling infrastructure and platform improvements - Strong verbal and written communication skills - Ability to work independently and collaboratively in a remote environment - Experience with machine learning concepts and technologies - Strong problem-solving skills and attention to detail - Experience with Agile development methodologies

## Nice to Have - Experience with cloud-based technologies, such as AWS or GCP - Knowledge of containerization using Docker - Experience with Kubernetes and container orchestration - Familiarity with machine learning frameworks, such as TensorFlow or PyTorch - Experience with data science and analytics

## Benefits and Perks - Competitive base pay range per year:

- Make sure to highlight your experience with machine learning concepts and technologies in your resume and cover letter.

• Prepare to talk about your experience with building and maintaining large-scale data storage and processing systems.
• Show your passion for ML enablement and your ability to work independently and collaboratively in a remote environment.
• Be prepared to walk the interviewer through your code and design decisions, and be open to feedback and suggestions.
• Research the company's culture and values, and be ready to talk about how you align with them.
• Don't be afraid to ask questions about the company's technical vision and strategy, and how you can contribute to it.
• Be prepared to negotiate your salary and benefits, and have a clear idea of your worth and what you are looking for in a role.