ML Technical Lead - Unreal Engine GameDev Leader

Game Companies

Województwo mazowieckie

Sur place

PLN 511 000 - 702 000

Plein temps

Il y a 36 heures
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Avantages offerts par ce poste

Private medical healthcare
Life insurance
Annual screenings for cancer
Psychological and psychiatrist care
Sports card
RED Parents Network
RED Summer Camp for Kids
No dress-code

Résumé du poste

CD PROJEKT RED is seeking an ML Technical Lead to guide multiple multidisciplinary teams and improve Unreal Engine workflows, production pipelines, and developer productivity. This role is based in Warsaw, with relocation required, and focuses on delivering practical ML-enabled improvements for our game development cycles.

You will shape technical direction, mentor engineers and researchers, and translate ML concepts into tools that help game creators, balancing experimentation with robust

Qualifications

  • 10 years of experience in AAA game development or related leadership roles.
  • Ability to provide technical direction for ML-driven game initiatives.
  • Credibility with senior engineers and researchers; strong communication.

Responsabilités

  • Lead ML-driven tools and systems for Unreal Engine workflows and productivity.
  • Guide cross-disciplinary teams, making key technical decisions and trade-offs.
  • Mentor engineers and researchers; connect ML with practical game value.

Connaissances

People management
Technical leadership
Unreal Engine understanding
Cross-functional collaboration

Outils

Unreal Engine
Production pipelines
GameDev tools

Description du poste

CD PROJEKT RED is seeking an ML Technical Lead to guide multiple multidisciplinary teams and improve Unreal Engine workflows, production pipelines, and developer productivity. This role is based in Warsaw, with relocation required, and focuses on delivering practical ML-enabled improvements for our game development cycles.

You will shape technical direction, mentor engineers and researchers, and translate ML concepts into tools that help game creators, balancing experimentation with robust

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