AI Engineer — Generative ML for Games (Istanbul)

Good Job Games; Fatih; On-site; TRY 400,000 - 700,000; Full time

Benefits offered by this job

Team events & trips

Great food

On-site gym

Full health benefits

Relocation support

Good Job Games Coin Program

Job summary

Good Job Games is seeking an AI enthusiast to lead internal AI research and development, focusing on RL agents, segmentation, and regression models. You will analyze large datasets to extract features and provide insights for management, while exploring self-learning agents across diverse environments.

The role emphasizes generative AI techniques and cutting-edge models, with a strong bias toward practical product applications and collaboration with cross-functional teams in Istanbul.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics or related engineering field.
• Proficiency in Python (TensorFlow or PyTorch).
• Interest in Generative AI techniques (Diffusers, LoRAs, GANs, Transformer models, etc.).
• An always-looking-for-better-ways mindset and the ability to understand team needs to proactively generate solutions.
• Ability to combine technical and business mindsets effectively.
• Passion for Match Villains and mobile puzzle games in general.

Responsibilities

• Leading AI research and development for internal product and management solutions (RL agents, segmentation, regression models)
• Analyzing big data to extract features, segment, and provide actionable insights for management
• Researching, implementing, and experimenting with self-learning agents in diverse RL environments for product development
• Following and deploying cutting-edge generational models (including finetuning) for tailored, multi-modal use cases
• Being at the forefront of ML/DL research and gaining valuable expertise

Skills

Python programming

ML/DL

Generative AI

Education

Bachelor’s degree in Computer Science/Math/Engineering

Tools

TensorFlow

PyTorch

Job description

Good Job Games is seeking an AI enthusiast to lead internal AI research and development, focusing on RL agents, segmentation, and regression models. You will analyze large datasets to extract features and provide insights for management, while exploring self-learning agents across diverse environments.

The role emphasizes generative AI techniques and cutting-edge models, with a strong bias toward practical product applications and collaboration with cross-functional teams in Istanbul.