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Engineering Manager
Machine Learning, Credit Engineering
Posted on 8/17/2022
Experience Level
Desired Skills
Apache Spark
Data Analysis
  • 2+ years of experience as a manager and 4+ years of experience in a machine learning role
  • Humble management which places the needs of others first, creates inclusive environments, and builds a diverse team
  • Expertise in synthesizing complex business, product, and technical requirements, and in translating them into machine learning solutions with clear deliverables and realistic timelines
  • Clarity in explaining complex machine learning projects in non-technical language to non-specialists
  • Thorough understanding of machine learning concepts such as gradient boosting, random forests, bandit problems, bootstrapping, and prediction interval estimation
  • Experience with object-oriented programming in Python, Spark, and SQL. Your team will own and maintain a Python codebase
  • Targeted Gross Monthly Salary: 25,792-32,233PLN
  • Flexible Spending Wallets for tech, food 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
  • Lead a team of talented machine learning engineers and wonderful people in developing new and improved underwriting models and systems
  • Drive planning and prioritization of projects based on product, technical, and business goals
  • Build relationships with people across product, engineering, and our risk analytics organizations to jointly make decisions vital to a large profitable portfolio and an inclusive lending product
  • Coach and mentor employees to increase their impact through regular performance feedback and development conversations
  • Cultivate a respectful and supportive environment for all team members

1,001-5,000 employees

Point of sale installment loans for consumers
Company Overview
Affirm seeks to deliver honest financial products—to improve lives. The company operates a buy-now-pay-later platform for consumers at the point of sale.
  • Spending wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
  • Supportive communities: Get involved with our employee resource groups and community groups
  • Remote-first workforce: If your role is remote, you can set up shop anywhere in your home country
  • Generous time off: Take the time you need when life happens
  • Health benefits: Get a plan that fits your needs
  • Mental healthcare: Take care of your mind with great mental health programs
  • Parental leave: Birth and non-birth parents get 18 weeks paid leave. Plus, a 4-week return-to-work transition program, at full base pay.
  • Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family.
  • Away days: We offer 24 company-wide paid days off—which help our teams collectively pause to recharge.
  • Learning & development: Engage in exciting learning programs to level up your growth.
Company Core Values
  • People come first: We consider our impact on people’s lives before we think about our own interests.
  • No fine print: We are completely transparent and honest—with our customers and with each other.
  • It's on us: We take full accountability for our actions, never shirking responsibility or passing the buck.
  • Simpler is better: We make complex things simple and clear.
  • Push the envelope: We never stop innovating, taking smart risks, and raising the bar.