Reddit

Machine Learning Systems Engineer, Ads ML Platform

Middle · Удалённо · Великобритания · Английский B2

Навыки

  • Airflow
  • BigQuery
  • Flink
  • Kafka
  • Kubernetes
  • Machine Learning
  • MLOps
Ещё 4
  • Мониторинг и observability
  • Оптимизация производительности
  • Retention и отток
  • Spark

О компании и продукте

  • We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems. This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive

Задачи

  • Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage
  • Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use
  • Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning
  • Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems
  • Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management
  • Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives
  • Reddit is a community of communities
  • It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet
  • Every day, Reddit users submit, vote, and comment on the topics they care most about

Требования

  • 3+ years in data infrastructure/platform engineering or ML infrastructure platforms
  • Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools
  • Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies
  • Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving
  • Strong coding skills and ability to write clean, maintainable, well-tested code
  • Experience building intelligent automation or agentic workflows for ML systems is a strong plus
  • Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus

Условия

  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching
  • Private Pension plan with Employer-matching
  • 100% employer-sponsored group medical plan
  • Income Replacement Programs
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
  • In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI)
  • You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews
  • During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us
  • We will use this information to evaluate your application for employment or an independent contractor role, as applicable
  • We will not sell your personal information or disclose it to any third party for their marketing purposes
  • We will delete any recording of your interview promptly after making a hiring decision
  • For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors
  • Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve
  • Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures
  • If, due to a disability, you need an accommodation during the interview process, please let your recruiter know
  • With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information
  • For more information, visit www.redditinc.com
  • Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands
  • Team Overview
  • We’re building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain
  • Our small but growing team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management

Паспорт вакансии

История публикации

Появилась в Вакандии30 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 30 дней назад
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Откуда что взялось

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ГрейдMiddleвыведено из другого признака
Формат работыУдалённо
ГеографияВеликобритания
Зарплата≈ 16 225 USD в месяцнаша оценка, в вакансии не названа

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
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Проверка Вакандии

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  • greenhouseОсновная публикация · 2026-06-23
  • greenhouseПовторная публикация · 2026-06-23

Работодатель

Reddit

50 активных вакансий · вилка работодателя указана в 18%

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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.

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