Principal Engineer, Word Gameplay Algorithm

PeopleFun Logo

PeopleFun

๐Ÿ’ต $120k-$206k
๐Ÿ“Remote - United States

Summary

Join PeopleFun, an award-winning mobile game creator, as a Principal Engineer to spearhead the development of our dynamic difficulty system, WordAlgo. This crucial role involves optimizing player experience by dynamically adjusting game difficulty in real-time, initially using rule-based algorithms and later integrating advanced Machine Learning and Large Language Models. You will collaborate with a data scientist and data engineer in an agile environment, focusing on iterative development and A/B testing. Your work will impact multiple mobile word puzzle games, enhancing player engagement and retention. Reporting to a General Manager, you will design, develop, and implement WordAlgo, create data optimization tools, and integrate with game development teams. This position offers a unique opportunity to contribute to a transformative initiative within a fast-paced and forward-thinking organization. The ideal candidate will have extensive experience in mobile game development and a proven track record of success.

Requirements

  • 7+ years of experience in mobile game development, with a strong understanding of game architecture and systems
  • Demonstrated experience successfully launching and operating at least one commercial mobile game title
  • Expert-level proficiency with Unity game engine, including a deep understanding of its architecture, scripting (C#), and best practices
  • Proven ability to design and implement robust, scalable, and well-documented APIs
  • Excellent verbal and written communication skills, with the ability to articulate complex technical ideas and engage in productive discussions
  • Experience writing comprehensive technical design documents
  • Familiarity with Agile development methodologies and a track record of delivering iteratively

Responsibilities

  • Design, develop, and implement the core Word Algorithm (WordAlgo) system, initially focusing on rule-based logic and evolving into ML and LLM-driven solutions using unit tests
  • Create tools to convert and generate optimized data for use in mobile games
  • Collaborate closely with data engineers and data scientists to integrate data pipelines and leverage player data for difficulty detection and adjustment
  • Work hand-in-hand with game development teams to seamlessly integrate WordAlgo into existing and new mobile games, ensuring a clean and well-documented API for game logic to consume
  • Design and document technical specifications for WordAlgo components, including algorithm logic, data flow, and API contracts
  • Participate actively in an Agile development environment, contributing to iterative design, implementation, and testing cycles
  • Continuously monitor and analyze game performance data to identify opportunities for algorithm optimization and player experience improvement
  • Articulate technical concepts, challenges, and solutions clearly and concisely to both technical and non-technical stakeholders through verbal and written communication
  • Champion PeopleFun's culture of trust, humility, and team-focused results in all aspects of work

Preferred Qualifications

  • Experience with or a strong understanding of Machine Learning concepts and applications
  • Familiarity with Unity Sentis or similar on-device ML inference engines
  • Experience working with large datasets and data-driven systems
  • Knowledge of Natural Language Processing (NLP) or Large Language Models (LLMs)

Benefits

  • Medical/Dental/Vision Insurance
  • Performance Bonuses
  • 401K Match Policy
  • Flexible PTO Policy
  • Wellness Stipend
  • Free Lunch each Friday
  • Generous Parental Leave & Family-Friendly Culture
  • Annual Credits for Professional Development & In-App Purchases

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.