This is a unique opportunity to help develop and shape Spotify recommendations. You’ll grow your skills in engineering at scale, work with a cross-functional team of Machine Learning Engineers, Backend Engineers, Data Engineers, and researchers, and join a super motivated and supportive team. You'll work with large-scale data pipelines and develop new data pipelines to meet emerging needs. You will also collaborate with other engineers to develop monitoring tools.
Contribute to the success of our ML Underwriting team leveraging cutting-edge machine learning to assess creditworthiness throughout the life cycle of loan applications. Develop high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape.
Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives. Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems. Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm.