Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied Scientist (AI): Developing and deploying machine learning models to power core game systems for the NBA franchise with an accent on representation learning, matchmaking, and player behavior modeling. Focus on formulating ambiguous product challenges into scalable algorithmic solutions and collaborating with cross-functional teams to integrate models into production environments.
Location: Must be based in or able to work from Dublin, Ireland (Hybrid)
Company
is a world-renowned video game publisher behind iconic franchises such as NBA , BioShock, Borderlands, and Sid Meier’s Civilization.
What you will do
- Design and iterate on machine learning models impacting in-game experiences like matchmaking and skill rating systems.
- Formulate ambiguous product problems into well-defined machine learning tasks with clear targets and evaluation strategies.
- Build representation learning models to capture player skill, lineup strength, and interaction patterns from sequential data.
- Collaborate with engineers and product stakeholders to integrate models into production systems.
- Influence game design decisions through data-driven insights and algorithmic solutions.
Requirements
- PhD in a quantitative field or Master's degree with 2+ years of relevant professional experience.
- Proven experience with deep learning, representation learning, or self-supervised learning.
- Fluency in Python and SQL.
- Experience with big data technologies such as Apache Spark.
- Working knowledge of machine learning frameworks like PyTorch or Tensorflow.
- Ability to work independently and prototype solutions rapidly.
Nice to have
- Experience with recommendation or ranking systems.
- Familiarity with sequence models like Transformers or RNNs.
- Experience with cloud services like AWS and model orchestration.
- Interest in sports analytics or NBA domain knowledge.
Culture & Benefits
- Commitment to a diverse and inclusive workplace.
- Opportunity to work on world-class, culture-shaping gaming franchises.
- Supportive environment that empowers team members to do their best work.
- Hybrid work model fostering collaboration and flexibility.
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