Machine Learning Engineer (Credit International ML)

Affirm; United States; Remoto; USD 93.000 - 123.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity rewards

Remote-first

Healthcare (Lux Med Platinum)

MultiSport card

Learning & development

Parental leave support

Lyra mental health support

ESPP stock purchase plan

Descrizione del lavoro

Affim ищет Staff Machine Learning Engineer для технического лидерства при создании конкурентоспособных моделей кредитования на международном уровне. Вы будете разрабатывать и внедрять продвинутые ML‑решения, сотрудничать с командами продуктa, инженерии и рисков, и формировать долгосрочную ML‑стратегию.

Требуется 8+ лет опыта, владение Python, PyTorch, LightGBM/XGBoost, и опыт масштабируемых ML‑проектов. Работа удалённо по Польше; предлагаются широкий пакет вознаграждений и equity.

Competenze

• 8+ лет опыта исследования/построения/развертывания крупных ML систем.
• Опыт разработки продакшн‑кода на Python.
• Опыт работы с моделями табличной классификации (LightGBM/XGBoost) и PyTorch.
• Опыт работы с распределённой обработкой данных (Spark, Ray).
• Навыки ML lifecycle инструментов (Kubeflow, Airflow, MLflow).
• Опыт использования инструментов для ускорения разработки (Claude Code, Codex, Cursor).
• Сильные инженерные навыки и умение лидировать технически.

Mansioni

• Установление технической стратегии на годовую перспективу для команды.
• Сотрудничество с ML Platform, продуктом, инжинирингом и рисками.
• Определение и внедрение решений для масштабирования международной экспансии.
• Роль форс‑майтера: пропаганда решений и стандартов код‑ревью.
• Развитие таланта команды через менторство и наставничество.

Conoscenze

Python

ML engineering

LightGBM/XGBoost

PyTorch

Spark/Ray

Kubeflow/Airflow/MLflow

AI tools

Leadership

Communication

Strumenti

Kubeflow

Airflow

MLflow

Descrizione del lavoro

Описание

At Affim, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

We are looking for a Staff Machine Learning Engineer to be the technical leader building high-quality production‑grade models powering credit lending decisions in countries across Europe and in Australia. You will use novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers.

In this role, you will help shape the future of how machine learning fuels Affim’s global expansion. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company.

You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long‑term ML strategy.

Задачи

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 with ML Platform, product, engineering, and risk leadership to shape long‑term modeling capabilities needed for scalable international expansion.

You will act as a force‑multiplier for your team through your definition and advocacy of technical solutions and operational processes. You will foster a culture of quality and ownership on your team by setting code review and design standards. You will help develop talent on your team by providing feedback and guidance, and leading by example.

What we look for 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 YOE.

Strong Python skills and experience writing production‑quality code.

Experience building and evaluating models for tabular classification problems (including gradient‑boosted decision trees like LightGBM/XGBoost, and deep learning frameworks like PyTorch). Experience working with distributed data processing or parallel compute frameworks (e.g. Spark, Ray).

Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow). Proficient in using AI‑powered developer tools (e.g., Claude Code, Codex, Cursor) to accelerate the model development lifecycle.

Strong engineering skills and the ability to provide hands‑on technical leadership while working with our code and architecture.

Strong verbal and written communication skills that support effective collaboration with our global engineering team.

Условия

We believe the people building honest financial products at Affim should share in its success. That's why our total rewards are designed to support your health, growth, financial well‑being, and future.

In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits.

Base Pay Grade - P 365,000 zł - 485,000 zł. Employees new to Affim typically come in at the start of the pay range. Affim 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 monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affim Holdings, Inc. (parent company). Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job‑related skills.

In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affim’s parent company grows, employees have the opportunity to share in that growth financially.

Equity Grade - 5 (awarded in US Dollars). Affim Holdings, Inc. Equity Grade example Equity grade: 5 New hire equity: $48,000-$72,000 Annual Refresh: $15,000 Reward equity: $0-$225,000.

Affim also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month.

Benefits include:

• Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge.
• Comprehensive private healthcare through Lux Med's Platinum package.
• A MultiSport card to support your health and well‑being.
• Learning and development programs to help you grow professionally.
• 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 you and your household members.
• Financial well‑being support through Northstar, with unlimited access to Certified. Financial Advisors and planning tools at no cost to you.
• Employee Resource Groups (ERGs) that foster connection and inclusion.
• Eligibility for creative tax benefits, subject to applicable law, role, and company policy.

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.

Remote‑first with flexibility built in Affim is proud to be a remote‑first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in‑person work at an Affim office, and a few are office‑based due to the nature of the work. All new hires will be invited to attend an in‑person onboarding experience.

Health coverage at no cost: We cover 100% of premiums for employees and their dependents.

Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.

Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.

Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affim stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affim considers qualified applicants with arrest and conviction records, as required by law.