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Чётко описанная senior-позиция в крупной продуктовой компании сочетает ответственность за ML-системы в продакшене и сложные задачи безопасности игроков; главный компромисс - обязательная работа из офиса.
Только офис
Актуальные ML-технологии
Понятная роль
Сильный соцпакет
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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