Senior Software Engineer (Machine Learning)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We've opened an office in Poland with a goal to hire a substantial team of talented engineers within the first year. Read more about our plans here.

The Merchant Risk Engineering team’s mission is to deliver a robust merchant approval and risk monitoring platform for the timely, transparent, and consistent assessment of merchant risk throughout the merchant lifecycle. This team works in close partnership with our product managers and risk teams to effectively onboard merchants and build automated risk tools in order to minimize losses post-onboarding. Affirm’s stated goal is to build the largest network as measured by the number of users and merchants; a strong merchant risk capability is key to growing the merchant side of the network equation.

We are looking for highly motivated senior engineers to help build this team in Poland. Come join us!

What you'll do

• Design, develop, and deploy a platform for assessing the legitimacy of any merchant. Scale the platform to onboard millions of merchants while minimizing losses resulting from fraudulent merchants.
• Build tools for our Risk team to enable (1) prompt risk management (2) human-in-the-loop learning, and (3) control merchant fraud losses.
• Partner with Analyst, Data Science, and Product engineering teams to build production machine learning models; your models will decide which merchants we onboard to the Affirm platform in real time
• 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
• Serve as a trusted advisor on the application and implementation of machine learning across Affirm

What we look for

• B.S. with 4+ years of industry experience, M.S. with 3+ years, PhD with 2+ years, or equivalent experience
• Demonstrated experience designing real time systems and writing production-quality software
• Proficiency writing production-quality software in the development of real-time services
• 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 to change consumer banking for the better, while developing a deeper understanding of applied machine learning

Compensation & Benefits

We offer a competitive package, with some highlights listed below. However, the given figures are not guaranteed compensation ranges; rather, they are unbinding, approximate indications of what the salary may be for your awareness. The actual salary may be less than the lower range or greater than the upper range, depending on skills and experience. No employee is guaranteed salary at the amount of the lower range.

• Targeted Gross Monthly Salary: 22,042 - 24,247 PLN
• Forma Wallet in the amount of PLN 1,280 / month - budget for expenses related to food, technology, and lifestyle
• Generous time off policies
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental leave
• Robust health benefits
• Employee Resource & Community Groups

Location - Remote Poland

The majority of our roles can be located anywhere in Poland.