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.
We are seeking an Engineering Manager to lead our ML Training & Serving team. You will directly lead a team of platform engineers and combine effective people leadership with strong technical judgment in ML infrastructure. Working closely with senior ICs and partners across Machine Learning and Infrastructure, you will help shape the team’s roadmap, drive execution, and ensure the platform reliably supports Affirm’s ML priorities.
Задачи
Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training & serving, spanning model training, deployment workflows, GPU infrastructure, and low-latency model serving
Lead, coach, and grow a team of platform engineers while staying closely engaged in technical decisions and execution
Drive delivery and operational health for the team’s infrastructure, balancing reliability, developer experience, performance, and cost
Evaluate and adopt modern ML infrastructure capabilities as Affirm’s needs evolve, including transformer-based workloads and GPU compute
Collaborate with ML modeling, product, and infrastructure teams to ensure the platform supports Affirm’s highest-priority ML initiatives
Recruit, develop, and retain high-performing platform engineers
Требования
7+ years of industry experience in software and/or machine learning engineering, including 2+ years managing engineers and meaningful hands-on software engineering experience
Strong experience building and operating production ML or distributed systems infrastructure, with hands-on experience in at least one of model training, model serving, deployment workflows, or GPU infrastructure
Solid understanding of ML data needs, including training datasets, data quality, reproducibility, and evaluation data
Familiarity with modern ML workloads, such as deep learning, transformer architectures, and large-scale training or serving
Strong systems thinking and the ability to partner with senior ICs on architectural trade-offs
Track record of delivering platforms or infrastructure that improve the productivity and impact of engineering or ML teams
Experience recruiting, coaching, and developing engineers across career stages
Effective cross-functional collaboration and the ability to lead through ambiguity
Experience with applied ML modeling is a plus
Bachelor’s degree in a technical field or equivalent practical experience
Pay Grade - P
Equity Grade - 13
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
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
Условия
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.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000
USA base pay range (all other U.S. states) per year: $204,000 - $264,000
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данных172 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвыведено из другого признака
Формат работыУдалённо
ГеографияСШАвычитано из текста вакансии
Зарплата181 000 USD — 241 000 USD в год
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки нет вовсе
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
2
Посмотреть публикации и даты
greenhouseПовторная публикация · 2026-07-27
greenhouseОсновная публикация · 2026-07-27
A
Работодатель
Affirm
50 активных вакансий · вилка работодателя указана в 54%
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — job-boards.greenhouse.io.
Признаки мошенничества
Просят предоплату, «залог» или деньги за обучение и оборудование.
Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
Быстро уводят в мессенджер и торопят с решением.
Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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