Senior Machine Learning Engineer

2 weeks ago

Toronto, Ontario, Canada Tripledot Full time US$120,000 - US$180,000 per year
Senior Machine Learning Engineer

Department: Data Science & Intelligence

Employment Type: Permanent - Full Time

Location: Toronto, CA


Description Who are we?

Tripledot is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot's guiding principle is that when people love what they do, what they do will be loved by others.
We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.
Our ambition is to be the most successful games company in the world, and we're just getting started.

The role is working within our studio: PeopleFun

PeopleFun is an award-winning creator of mobile games for players across the globe. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we have a number of exciting mobile games in development to fuel the future growth of PeopleFun.

We believe in bringing People together through Fun by creating the best in class social features and communities in our games that enables our players to engage deeply with other players. Secondly we endeavor to bring our studio teammates together by creating the very best game teams that foster healthy collaboration, incredible productivity, and life-long professional relationships.

Key Responsibilities PeopleFun is seeking a Senior AI/ML Engineer responsible for developing models and algorithms to personalize in-game experiences, enhance monetization strategies, and analyze player behavior. Collaborating with a cross-functional team of engineers, data analysts, and product managers, you have the opportunity to meaningfully contribute on high impact projects at the studio.
Responsibilities
  • Develop models and algorithms to dynamically personalize in-game experiences like level difficulty, player progression, and rewards.  
  • Use the latest methodologies and frameworks to integrate LLMs to understand word semantics, thematic relationships and player vocabulary mastery, as well as create more engaging player experiences.
  • Use data-driven techniques to enhance monetization strategies (e.g., in-app purchases, ad revenue) and improve player retention.
  • Design experiments and prototypes to test the viability and efficiency of new AI models.
  • Translate research findings into real-world applications by creating algorithm prototypes in our codebase.
  • Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle.
  • Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.
  • Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
  • Document work clearly and concisely, fostering knowledge sharing within the team.

Skills, Knowledge and Expertise
  • Bachelor's, Master's, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Strong understanding of industry standard ML techniques (e.g. classification, regression, clustering, recommendation systems, etc).  Gaming experience is a plus.
  • A good command of analytical programming and visualisation languages and libraries (SQL, python and/or R, matplotlib / ggplot etc.) as well as supporting tools and platforms.  GCP experience is a plus.
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production.
  • A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  • Familiarity with A/B testing frameworks and experimentation methodologies.
  • Excellent communication skills, with the ability to translate complex data insights into actionable business recommendations.
  • Passion for gaming and understanding of mobile game KPIs such as DAU, retention, ARPU, LTV, and churn.

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

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