Назад
Company hidden
6 дней назад

Senior Machine Learning Engineer (Player Safety)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Machine Learning Engineer (Player Safety) (NLP/LLMs/Graph Learning): Building and deploying scalable machine learning systems that protect players through toxic-chat detection, sanction-circumvention detection, anomaly detection, and graph-based learning with an accent on production-grade ML engineering and MLOps. Focus on adapting state-of-the-art research, developing prediction pipelines, monitoring live models, and solving complex trust-and-safety problems at scale.

Location: Office-based in Saint-Mandé, France

Company

hirify.global is a global gaming company creating interactive entertainment experiences including Assassin’s Creed, Rainbow Six, and Just Dance.

What you will do

  • Design, train, deploy, and monitor machine learning models for player safety and security, including NLP, anomaly detection, and graph-based learning use cases.
  • Adapt state-of-the-art deep learning, NLP, graph learning, and LLM research to production constraints, implementing solutions from scratch when needed.
  • Own projects end to end by collaborating with stakeholders, defining success metrics, monitoring live systems, and iterating on results.
  • Write, optimize, test, document, and ship scalable code using modern MLOps practices such as CI/CD, model versioning, and observability.
  • Collaborate with data and software engineers to deliver models and prediction pipelines to internal or public cloud infrastructures.

Requirements

  • Strong Python software engineering skills, including clean code, testing, documentation, and CI/CD.
  • Proven experience deploying and monitoring production machine learning models, including MLOps, model serving, and drift monitoring.
  • Hands-on experience with NLP and LLMs, including transformer fine-tuning, prompt engineering, RAG, or LLM-based pipelines.
  • Knowledge of anomaly detection or fraud, trust, and safety systems in a production context.
  • Experience with distributed data processing using Spark and cloud data platforms.
  • Strong communication skills; English is mandatory for presentations, cross-team collaboration, and reporting.
  • Experience with token classification such as NER or sequence labelling and/or hands-on GNN training, including node classification, link prediction, or graph construction pipelines.

Nice to have

  • Experience with graph-based machine learning and Graph Neural Networks.
  • Familiarity with Databricks, including DAB and Delta Live Tables, or Azure-specific services.

Culture & Benefits

  • Permanent, full-time employment with office-based work in Saint-Mandé.
  • 25 days of paid time off plus 12 additional paid days off.
  • Profit sharing, an annual company savings plan, healthcare for employees and families, and additional hirify.global benefits.
  • 50% reimbursement of the transportation pass and €9-per-day lunch vouchers.
  • 20 weeks of maternity leave and 7 weeks of paternity or co-parental leave.
  • Gym available in the office building and an inclusive work environment.

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 →