Affirm

Staff Machine Learning Engineer (Credit International ML)

Brak informacji o wynagrodzeniu

SeniorZdalnieFull-time

#469724·Dodano 7 dni temu·3

Źródło: Affirm

Aplikuj teraz

Tech Stack / Keywords

PythonLightGBMXGBoostPyTorch SparkRayKubeflow Airflow MLflowClaude Code

Podsumowanie oferty

Lead the development of production-grade machine learning models for credit lending decisions across Europe and Australia. Shape modeling capabilities for international expansion, using Python and machine learning techniques to predict repayment behavior and optimize loan offers.

Wymagania

8+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems; a relevant PhD can count for up to 2 years of experience.
Strong Python skills and experience writing production-quality code.
Experience building and evaluating models for tabular classification, including gradient-boosted decision trees such as LightGBM or XGBoost, and deep learning frameworks such as PyTorch.
Experience with distributed data processing or parallel compute frameworks such as Spark or Ray.
Experience with machine learning lifecycle tools for training orchestration, experimentation, and model monitoring, such as Kubeflow, Airflow, or MLflow.
Proficiency with AI-powered developer tools such as Claude Code, Codex, or Cursor to accelerate the model development lifecycle.
Strong engineering skills and ability to provide hands-on technical leadership while working with code and architecture.
Strong verbal and written communication skills to support collaboration with a global engineering team.

Obowiązki

Set the team’s technical strategy on a year-long time scale and connect it to business-impacting projects.
Collaborate with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities for scalable international expansion.
Define and advocate technical solutions and operational processes.
Set code review and design standards to foster quality and ownership.
Develop team talent by providing feedback and guidance and leading by example.

Benefity

Equity from the parent company, including annual equity for employees in this role.
Employee stock purchase plan allowing employees to buy Affirm stock at a discount.
Flexible spending wallets for technology and wellbeing expenses, reimbursable up to 1,390 zł per month.
Paid time off, paid public holidays, and additional paid Away Days.
Private healthcare through Lux Med’s Platinum package; the company covers 100% of premiums for employees and dependents.
MultiSport card.
Learning and development programs.
Family healthcare support through Maven and parental leave support through Parentaly.
Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for employees and household members.
Financial well-being support through Northstar, including access to financial advisors and planning tools at no cost.

Płatny urlop

Płatne święta

Opieka zdrowotna

Karta sportowa

Udziały pracownicze

Inne informacje

The role is remote in Poland; the majority of roles can be located anywhere in Poland.

Affirm

21 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz