Staff Backend Software Engineer (Machine Learning Focus)
Remote Canada
Affirm
With Affirm, you can pay over time at your favorite brands. No late fees or compounding interest—just a more responsible way to say yes to the things you love.Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly.
Affirm - Staff Software Engineer. (Machine Learning Platform)
REMOTE ENGINEERING FULL TIME - EXEMPT
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Machine learning is a critical tool in this effort. As a member of the software engineering team, you will design, build, optimize, and support machine learning systems both offline and real time. You will also have the opportunity to partner with Data Science and product teams across Affirm, leveraging your machine learning and software development skills to solve challenging problems that will improve the financial lives of millions of people.
WHAT YOU'LL DO
- Design, develop, and deploy infrastructure for the training, testing, and serving of machine learning models at scale
- Develop the core decisioning service supporting our machine learning models in production
- Partner with Data Science and Product engineering teams to build production machine learning models; your models will decide who we lend to in real time, and how we interact with our existing customers
- Develop our understanding of new data sources and how they may improve our existing processes
- Work closely with Affirm’s credit, risk, marketing, and analytics teams to understand our performance modeling strategies and the business drivers underlying those strategies
WHAT WE LOOK FOR
- Proficiency writing production-quality software in the development of real-time services following software engineering best practices
- Strong foundation in machine learning with experience implementing and optimizing machine learning models, preferably industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization)
- Deep understanding and experience with data engineering, data analysis, and statistical modeling
- Hands on experience with Python, Spark, XGBoost, Airflow, Kubernetes, and AWS (EC2, EMR, EKS, etc) a plus
- Ability to work efficiently both solo and as part of a team; willingness to learn new things
- Passion and drive to change consumer banking for the better, while developing a deeper understanding of applied machine learning
If you got to this point, we hope you're feeling excited about the job description you just read. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Affirm's mission and can contribute to our team in a variety of ways – not just candidates who check all the boxes.
At Affirm, "People Come First" is a core value and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can learn more about our D&I efforts here.
We also consider qualified applicants with arrest and conviction records for positions in accordance with applicable laws, including the San Francisco Fair Chance Ordinance.
Affirm is proud to be a remote-first company! Employees in remote roles have the option of working remotely or from an Affirm office in their country of hire, and may occasionally travel to an Affirm office or elsewhere for required meetings or team-building events. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco and Toronto will remain operational and accessible for anyone to use on a voluntary basis, subject to local COVID-19 guidelines. If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes. Inclusivity:At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2020 DEI Report.
We also believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy, or the Affirm Employment Privacy Notice (EU) for applicants applying from the European Union, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of my personal information as described therein.
Tags: Airflow AWS Banking Data analysis EC2 Engineering Kubernetes Machine Learning ML models Python Spark Statistical modeling Testing XGBoost
Perks/benefits: Career development Team events
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