Чётко описанная senior-роль в важной ML-инфраструктуре продуктовой финтех-компании: современный стек и сильный пакет льгот. При этом нужны техническое лидерство и участие в дежурствах.
Дежурства в роли
Современный стек
ML-инфраструктура
Понятная зона ответственности
Сильные льготы
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Backend (ML Training and Serving) (Python/Kotlin, AWS, Kubernetes, MySQL): Building and operating distributed infrastructure for training and serving machine learning models with an accent on reliability, scalability, and developer velocity. Focus on designing highly available systems, leading delivery through ambiguity, and maintaining production operations and engineering quality.
Location: Remote within the United States or Canada; occasional in-person onboarding may be required.
Base pay: $195,000–$225,000 per year in CA, WA, NY, NJ, and CT; $173,000–$233,000 per year in other U.S. states.
Company
Affirm provides transparent pay-over-time solutions and uses machine learning for underwriting, fraud, servicing, and personalization.
What you will do
Own and deliver quarterly team goals while leading engineers through ambiguous, open-ended problems.
Collaborate with product management, design, and analytics to shape solutions and assess technical risks and trade-offs.
Identify and lead resolution of project, process, technology, and business issues.
Operate and improve team systems through metrics, monitoring, escalation, and on-call support.
Set code review and design standards, promote quality and ownership, and contribute through writing and technical talks.
Develop team talent through feedback, guidance, and technical leadership.
Requirements
4+ years of experience designing, developing, and launching backend systems at scale using languages such as Python or Kotlin.
Experience developing highly available distributed systems with technologies such as AWS, MySQL, and Kubernetes.
Ability to define technical plans for significant features or system components and create simple, extensible designs.
Ability to make significant changes safely in a large codebase using appropriate tools and practices.
Strong ownership of professional growth and proactive feedback-seeking.
Strong verbal and written communication skills for collaboration with a global engineering team.
Equivalent practical experience or a Bachelor’s degree in a related field.
Nice to have
Experience training and deploying machine learning models in production.
Culture & Benefits
Remote-first work with flexibility within the country of employment.
All new hires attend an in-person onboarding experience.
100% subsidized medical coverage, including employees and dependents, plus dental and vision benefits.
Monthly technology, health, and wellness spending stipends.
Flexible time off, holiday calendars, and an employee stock purchase plan.
Inclusive interview accommodations are available for candidates with disabilities.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →