Machine Learning Systems Engineer, Ads ML Platform
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
Среди похожихНет данных66 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыУдалённо
ГеографияВеликобритания
Зарплата≈ 16 225 USD в месяцнаша оценка, в вакансии не названа
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Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
- Тип источника
- Карьерный сайт работодателя
- Найдено публикаций
- 2
Посмотреть публикации и даты
- greenhouseОсновная публикация · 2026-06-23
- greenhouseПовторная публикация · 2026-06-23
Безопасность
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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.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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