AI Engineer

Good Job Games

Fatih

On-site

TRY 350,000 - 650,000

Full time

14 days+

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Benefits offered by this job

Relocation support
Great food
On-site gym
Compensation for paid military service
Team events and trips
Good Job Games Coin Program

Job summary

Good Job Games is seeking an AI enthusiast to join our Istanbul team for leading AI research and development across internal products and management solutions. You will work with RL agents, segmentation, regression models, and multi-modal systems to drive product innovation.

The role emphasizes building solutions from big data insights, experimenting with self-learning agents, and deploying state-of-the-art generative models.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics or a related engineering field.
  • Proficiency in Python with TensorFlow or PyTorch.
  • Strong interest in Generative AI techniques (Diffusers, LoRAs, GANs, Transformer models).

Responsibilities

  • Lead AI research and development for internal products and management solutions (RL agents, segmentation, regression models).
  • Analyze big data to extract features, segment, and provide actionable insights for management.
  • Research, implement, and experiment with self-learning agents in diverse RL environments for product development.
  • Follow and deploy cutting-edge generational models (including finetuning) for multi-modal use cases.
  • Be at the forefront of ML/DL research and gain valuable expertise.

Skills

Python (TensorFlow or PyTorch)
Generative AI techniques (Diffusers,Lo

Education

Bachelor's degree in Computer Science, Mathematics or a related engineering field

Job description

We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for passionate teammates to join our team!

About the role

The more technology evolves, the more it shapes our lives. We’re looking for AI enthusiasts who are passionate about exploring new technologies and creating innovative, effective solutions to improve the way we work.

If you thrive on a “how can we do it better” mindset, we’d love to have you on our team!

What you’ll be doing
  • 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
Desired skills and experiences
  • Bachelor\'s degree in Computer Science, Mathematics or a related engineering field
  • Proficiency in Python (TensorFlow or PyTorch)
  • Interest in Generative AI techniques (Diffusers, LoRAs, GANs, Transformer models, etc.) and a desire to develop in this area
  • 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
What makes our team so unique
  • Feedback and transparency are at the heart of everything we do
  • Exceptional and passionate people/team members
  • Every idea counts
  • Never-ending learning
  • We never stop asking the questions “why” and “how”
  • Team events and trips
  • Great food
  • On-site gym
  • Compensation for paid military service
  • Relocation support
  • Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights)

This is an on-site role in Istanbul, Sarıyer. We do not offer a fully-remote working option.

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