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Senior Software Engineer, ML Platform

Оценка ИИ

Высокий балл обусловлен сильной инженерной культурой Forter, использованием передовых технологий (Spark, Databricks) и возможностью работать на стыке Data Engineering и ML в компании-единороге.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний как в Data Engineering (Spark, пайплайны), так и в Backend-разработке высоконагруженных систем. Дополнительную сложность добавляет необходимость понимания концепций ML и MLOps для создания инструментов внутреннего пользования.

Анализ зарплаты

Медиана165 000 $
Рынок140 000 $ – 190 000 $
Оценка ИИ

Зарплата для Senior ML Platform Engineer в Тель-Авиве является одной из самых высоких на рынке. Указанные оценки отражают уровень компенсации в ведущих технологических компаниях Израиля, включая базовый оклад и возможные бонусы.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Software Engineer, ML Platform position at Forter. With over 5 years of experience in developing complex backend systems and a deep background in large-scale data processing using Apache Spark, I am excited about the opportunity to contribute to a platform that handles billions of real-time decisions. My expertise in building distributed data pipelines and my passion for MLOps align perfectly with Forter's mission to provide cutting-edge tooling for data scientists and researchers.

In my previous roles, I have focused on creating scalable infrastructure and maintaining high-availability, low-latency services. I am particularly drawn to Forter because of the central role ML plays in your product and the direct impact of engineering precision on preventing fraud. I am eager to bring my skills in Python and cloud environments to help expand your ML infrastructure and improve the model lifecycle management. Thank you for considering my application; I look forward to the possibility of discussing how my background can support the ML Platform team's goals.

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Откликнитесь в forter уже сейчас

Присоединяйтесь к Forter, чтобы строить ML-платформу мирового уровня и бороться с фродом в глобальных масштабах!

Описание вакансии

About the role:

Forter is looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity, whether you have experience with ML and are looking for a ML focused product or are an experienced Data Engineer looking to enter the world of ML. Together we’ll provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.

ML is central to Forter’s work. It enables us to process billions of $ worth e-commerce transactions, make decisions in real time, identify fraud rings, and quickly detect new attack methods. Precision is crucial - bad decisions by our models cost us directly and put money into the pockets of fraudsters.

Our adoption by merchants around the world provides us with billions of fresh data points each day. Our team of data scientists, analysts, and cyber intelligence specialists continually identify new signals, engineer new features, and research new models. But as the volume of data and the number and complexity of models grows, so do the engineering challenges.

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

Why should you join us?

You’ll be part of a highly proficient engineering team that is a focal point for all ML engineering activity, striving to constantly bring innovation and leverage ML capabilities across all company teams and products.

This role presents a unique opportunity to enter the ML domain. For those already experienced in ML infrastructure, it offers the chance to grow within a team that specializes in high-scale, Big Data and ML systems.

What you will be doing:

  • Designing, building, and maintaining the ML infrastructure that allows Forter’s models to make billions of real-time decisions every year.
  • Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time.
  • Building distributed data processing pipelines to support model development.
  • Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
  • Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
  • Expanding the pool of internal customers able to use ML at Forter. Work with them to understand their needs and help them make the most of the infrastructure that we’ll provide.
  • Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

Who are you?

  • 4+ years experience with large-scale data processing, ideally with Apache Spark.
  • 5+ years developing complex software projects with at least one of general-purpose languages (preferably Python, but not a must)
  • Backend and server-side development experience of complex, highly scalable systems
  • Experienced with machine learning concepts and frameworks.
  • Motivation to understand the needs of internal users, provide them with great tooling, and teach them how to use it.
  • Experience working with public clouds (AWS / GCP / Azure)
  • Fluent in written and spoken English

It’d be really cool if you also:

  • Are familiar with Databricks or Airflow.
  • Are comfortable in a containerized environment.
  • Have experience with maintaining highly available, low latency, real-time services

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact.

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including:

Life as a Forterian:

We are a team of over 500 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Nordstrom, Priceline, Instacart and ASOS can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

Forter's Applicant Privacy Policy

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Навыки

  • Python
  • Apache Spark
  • Machine Learning
  • MLOps
  • Big Data
  • AWS
  • GCP
  • Azure
  • Databricks
  • Airflow
  • Docker
  • Kubernetes
  • Backend Development
  • Distributed Systems

Возможные вопросы на собеседовании

Проверка опыта работы с основным стеком обработки данных, указанным в вакансии.

Расскажите о самом сложном пайплайне на Apache Spark, который вы проектировали: с какими проблемами производительности вы столкнулись и как их решили?

Вакансия подразумевает создание платформы для других команд.

Как бы вы спроектировали систему мониторинга дрейфа данных (drift detection) для моделей, работающих в реальном времени?

Для Forter критически важна скорость принятия решений.

Какие архитектурные паттерны вы используете для обеспечения низкой задержки (low latency) в высоконагруженных распределенных системах?

Оценка навыков MLOps и автоматизации.

Опишите ваш идеальный CI/CD процесс для жизненного цикла ML-модели: от обучения до деплоя в продакшн.

Проверка умения работать с облачной инфраструктурой.

В чем заключаются основные различия при масштабировании ML-инфраструктуры в AWS по сравнению с локальными решениями, и как вы управляете стоимостью ресурсов?

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