Senior Machine Learning Engineer

Tripledot Studios; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading mobile game company in Toronto is seeking a Senior AI/ML Engineer to develop algorithms for personalized gaming experiences. This fully remote position requires expertise in machine learning and statistical analysis, and offers benefits including medical insurance, performance bonuses, and flexible PTO.

Benefits

Medical/Dental/Vision Insurance

Performance Bonuses

401K Match Policy

Wellness Stipend

Free Lunch each Friday

Generous Parental Leave

Annual Credits for Professional Development

Flexible PTO Policy

Qualifications

• Strong understanding of industry-standard ML techniques.
• Proficiency in analytical programming and visualization.
• Experience with CI/CD and deploying ML models.

Responsibilities

• Develop models and algorithms for personalized in-game experiences.
• Enhance monetization strategies using data-driven techniques.
• Design experiments to test new AI models.

Skills

Machine Learning techniques

Data Science

Statistical analysis

Programming (Python, R)

Communication skills

Gaming experience

Education

Bachelor’s, Master’s, or Ph.D. in Data Science or related field

Tools

SQL

GCP

Docker

Kubernetes

Job description

Who are we?

Tripledot is one of the largest independent mobile game companies in the world.

We are a multi‑award‑winning organisation, with a global team of 2,500+ across 12 studios.

Our portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions worldwide 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‑oriented 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. Located in Dallas, the studio was founded and is led by game industry veterans. Our games are played by over 25 million players each month, and we have a number of exciting mobile games in development to fuel future growth.

We believe in bringing people together through fun by creating the best‑in‑class social features and communities in our games which enable players to engage deeply with each other. We also foster a collaborative environment that supports healthy teamwork, incredible productivity, and life‑long professional relationships.

Department

Data Science & Intelligence

Employment Type

Permanent – Full Time

Location

Toronto, CA (Fully remote)

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. You will collaborate with a cross‑functional team of engineers, data analysts, and product managers, contributing on high‑impact projects at the studio.

• Develop models and algorithms to dynamically personalize in‑game experiences such as 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, creating 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 the 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 personalization algorithms and optimize player experience.
• Continuously monitor and analyze player data to identify new opportunities for personalization 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). Gaming experience is a plus.
• Proficiency in analytical programming and visualization languages and libraries (SQL, Python and/or R, matplotlib / ggplot, etc.) and supporting tools and platforms. GCP experience is a plus.
• Experience with software development concepts such as CI/CD, version control, containers (Docker & Kubernetes) and a proven track record of deploying ML models to production.
• 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

About Tripledot

We are Tripledot Studios. Our mission is to bring the knowledge and experience of a chart‑topping mobile games company into a close‑knit, collaborative environment. Our teams drive projects together from conception to launch in an indie‑style process combining data and creativity to make games that can be enjoyed by everyone.

Our Hiring Process

1. Talent Acquisition Interview
2. Manager Interview
3. Director Interview
4. Final Interview
5. Hired

Please apply via our Careers portal.