Junior AI/ML Research Engineer (12mth FTC)

at  Kingcom

QUALIFICATIONS:

• Recent (expected graduation date in 2025) PhD graduate or equivalent years of research in Computer Science, Machine Learning, Graph Learning, Natural Language Processing, or a related field.
• Experience and knowledge of conducting proper literature surveys and writing survey papers.
• Proven expertise in graph learning, particularly with temporal graphs and graph neural networks.
• Strong research background in transformers and experience with transformer-based models in academic projects.
• Passion for machine learning and a strong desire to apply your skills in practical settings.
• Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Keras.
• Familiarity with software development best practices and a commitment to code quality.
• Excellent communication skills and the ability to collaborate effectively with multi-functional teams.
• Interest in reading and implementing research methodologies, and exploring data.

PREFERRED SKILLS:

• Experience with self-supervised representation learning and pre-training techniques.
• Knowledge of continuous-time dynamic graphs and temporal graph learning.
• Background or interest in the gaming industry, specifically in improving player experiences through AI.
• Experience with large-scale data processing and scalable ML model implementation.
• Publication experience in major AI/ML research conferences.

APPLICATION REQUIREMENTS:

To apply, please submit the following materials in a single PDF document:

• Your CV
• A short description of your PhD topic and relevant experience with transformer-based models
• Contact information for an academic reference

Start Date: We are ready to start the project as soon as we find the right candidate. The start date is flexible to accommodate the best fit for the team.
Duration: This is a fixed term contract for 12 months.
How to Apply: Please attach the required materials to your application and submit them through our careers portal.

TGB 2.0: A BENCHMARK FOR LEARNING ON TEMPORAL KNOWLEDGE GRAPHS AND HETEROGENEOUS GRAPHS

Join us at King to innovate and push the boundaries of AI in the gaming industry!

MAKING THE WORLD PLAYFUL

Making the World Playful is our mission – it’s the thread that connects our people, our players, and our passion for our games. Let’s face it, who doesn’t love a bit of fun?
Kingsters are seriously playful: creative thinkers who balance art and science to bring moments of magic to millions daily. But our players aren’t the only ones that can level-up. We’re always looking for ways to champion each other and make what’s already great, even better.
So, if this feels like a fun way to spend your days, and you share our passion, our values, and our hunger to shape the future, join us in Making the World Playful.
Applications need to be in English.
Discover King at careers.king.co

ABOUT THE ROLE:

We are seeking a dedicated and motivated Junior AI/ML Research Engineer to join our AI Labs team at King for a duration of 12 months. You will be involved in high impact projects with focus on research in representation learning on temporal and inductive graphs. This role is a great opportunity to contribute to the advancement of AI in the gaming industry and enhance player experiences!

RESPONSIBILITIES:

• Carry out in-depth surveys over the domain of representation learning on temporal and inductive graphs and deliver high-quality survey paper.
• Conduct groundbreaking research on self-supervised learning and transformer models applied to temporal graphs.
• Develop and innovate methodologies for leveraging pre-trained models to enhance the performance of downstream tasks (link/node/graph prediction) on temporal graphs.
• Publish research results in top-tier scientific conferences and journals.
• Collaborate with machine learning researchers/engineers, data scientists, and game domain experts to integrate research findings into production systems.