Staff Machine Learning Engineer (ML Portfolio)

Affirm; Poland; Remote; PLN 727,000 - 1,000,000; Full time

Job summary

A leading financial technology company is seeking a seasoned professional to join their Portfolio ML team. This remote role requires a strong background in machine learning and engineering, with responsibilities including setting technical strategies and collaborating on product development. The ideal candidate has 8+ years of experience, excels in Python, and is capable of fostering a quality-driven culture. Committed to inclusivity, the company offers generous benefits, including health coverage and flexible spending stipends.

Benefits

Health care coverage

Flexible Spending Wallets

Competitive vacation and holiday schedules

Employee stock purchase plan

Qualifications

• 8+ years of industry experience, relevant PhD can count as up to 2 YOE.
• Experience in Generalized Linear Models, Gradient Boosting, Deep Learning.
• Comfortable with technical strategy and cross-functional collaboration.

Responsibilities

• Set technical strategy and manage critical projects.
• Collaborate with product management, design & analytics.
• Foster a culture of quality and set code review standards.

Skills

Machine learning proficiency

Strong engineering skills in Python

Data manipulation skills like SQL

Verbal and written communication skills

Education

Bachelor's in a technical field

Job description

Remote US

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.

The Portfolio ML team manages and optimizes the flow of loan opportunities across Affirm-owned and operated properties. We build models, tools, and libraries to support portfolio management actions that balance unit economics, product growth, and user experience. We power ROA-based decisioning; real-time and offline conversion rate prediction; counterfactual portfolio simulation; and the valuation of loans. We sit within the Decisions Foundations org.

What You’ll Do

• You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
• You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
• You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
• You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
• You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
• You will help develop talent on your team by providing feedback and guidance, and leading by example.

What We Look For

• Bachelors in a technical field with 8+ years of industry experience. Relevant PhD can count for up to 2 YOE.
• Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk, portfolio management, learning to rank, and personalization is a plus
• Strong engineering skills in Python and data manipulation skills like SQL
• You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
• You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
• Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Base Pay Grade - P

Equity Grade - 13

USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $275,000

USA base pay range (all other U.S. states) per year: $200,000 - $250,000

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

Location: Remote - US

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’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.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm is open to applicants across the United States and is a remote-first company. For any questions about the role or process, please contact Affirm recruiting.