Senior Software Engineer, Backend (Shopping Core)

Key Skills

Amazon Elastic Compute Cloud-EC2, Apache Airflow, Design, Kotlin, Machine learning techniques, Product Analytics, Python Programming

Job Description

Who We Are

The Shopping Core ML team’s mission is to deliver state of the art ML algorithms that will help build robust and scalable customer products. We use a data-driven approach to solve the problems and deliver ML-powered smart user experiences on the consumer apps and website. This team works in close partnership with our product managers, application and website teams to deeply understand the problems and deliver the most impactful solutions. We are constantly faced with challenges at industrial scale such as Personalization, Information Retrieval, Relevance Ranking and are pushing the boundary of how Affirm thinks of its data.

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

What You’ll Do

• Drive planning and prioritization of projects based on product, technical, and business goals by leveraging relevant resources and data. 
• Work cross functionally with colleagues in Machine Learning, Product, and Analytics 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
• Build APIs and data models to work within micro-service and event-driven architectures
• Take an active role in mentoring junior engineers, and the processes that support team growth and efficiency
• Design, develop, and deploy infrastructure for the training, testing, and serving of models at scale

What We Look For

• 4-7 years proven experience as a software engineer.
• Ability to synthesize complex business, product, and technical requirements to consistently produce high quality system designs and software
• Proficiency writing production-quality software following software engineering best practices, preferably industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization)
• Foundation in machine learning with experience implementing and optimizing machine learning models is a plus.
• Hands on experience with Python/Kotlin, Airflow, and AWS (EC2, EMR, 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

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: 22,040 - 27,550 PLN
• Type of employment: Contract of Employment
• 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
• This role is eligible for creative tax benefits, subject to applicable law and company policy

Pay Grade - POL30

Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.

POL base pay range per year: 

Min: 264,500 zł 

Mid: 330,600 zł

Max: 396,800 zł

Location - Remote Poland

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

This job description is not a contractual document, and is not intended to have binding force.

LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We have a simple and transparent remote-first grade-based compensation structure. Offer amounts within the range are based on a number of factors including but not limited to job-related skills, experience, and relevant education or training. Across the broader organization, certain roles are eligible for equity awards upon hire, promotion, tenure milestones and for performance.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: 

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents 
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We 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.