Lead AI Engineer

About Sett:

Mobile game marketers constantly face a costly and inefficient race to find their next hero creative while battling creative and performance fatigue. Sett breaks this cycle with our advanced AI engine, trained on live campaign data, competitor actions, consumer trends, and other key signals, to automatically create high-quality video ads designed to drive better business results. 

Our proprietary technology replicates your game design, enabling you to explore bold new concepts without needing any integrations, asset uploads, or project sharing on your end. With Sett, we enable creativity without limits, helping your game break through the noise and beat out the competition. 

Our Technology:

Sett leverages cutting-edge AI technologies and agent-based workflows to create deep technical solutions for the gaming industry. Our initial focus is on developing an “Autonomous Creative Marketer”- handling everything from autonomous research and ideation to content production driven by data-backed recommendations.

Position overview:

We are looking for a talented and proactive Senior AI Engineer to join our team at Sett. In this position, you will lead the design, development, and deployment of AI solutions that are at the core of our innovative product offerings. As a key player in our team, you will work closely with cross-functional teams to ensure our AI technologies are scalable, reliable, and meet the evolving needs of our users.

What you will do:

• Design, develop, and implement POCs for machine learning models and AI solutions to meet business needs and objectives.
• Understand and address the challenges faced by mobile game marketers by integrating and implementing AI/ML solutions that align with our product vision.
• Provide technical guidance and mentorship to development teams on AI/ML technologies and practices.
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• Ensure the scalability and reliability of AI/ML architectures.

Qualifications:

• Proven experience in a Senior AI/ML or similar role.
• Experience deploying AI/ML models in production environments.
• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Proficiency in Python and experience with AI tools and frameworks such as LLMs, LangChain, TensorFlow, PyTorch, or similar.
• Experience with Data Science Python libraries like SciKit-Learn, XGBoost, AutoTS, LightGBM, NLTK.
• Familiarity with MLops frameworks and the ML CI/CD lifecycle.
• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Excellent problem-solving abilities and analytical skills.
• Strong communication and team collaboration skills.