Machine Learning Engineer at Tripledot Studios
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

01 Jun, 25

Salary

0.0

Posted On

01 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kubernetes, Sql, Hypothesis Testing, Computer Science, Docker, Mathematics, Python, R, Platforms, Sampling, Statistical Concepts, Algorithms, Version Control, Statistics

Industry

Information Technology/IT

Description

DESCRIPTION

Tripledot Studios is an award-winning, record breaking games studio with a team circa 400 people. Headquartered in London, we also have offices in Warsaw, Barcelona, Minsk, Jakarta, and Melbourne.

We specialise in Casual, Free to Play, Mobile games, and millions of users play our games every day.

  • Fastest Growing Business in Europe in 2022
  • Tech Growth Business of the Year 2021 and 2023
  • PocketGamer Best Mobile Developer 2023
  • The Kings Award for International Enterprise 2024

Our guiding principle as a team is that when people love what they do, what they do will be loved by others.
Take a look at our games: iOS Store + Google Play

REQUIRED SKILLS, KNOWLEDGE AND EXPERTISE

  • A Bachelor’s degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics) or equivalent experience.
  • Strong understanding of industry standard ML techniques (e.g. Classification, Regression, Clustering, Recommendation Systems, etc)
  • Experience in applying machine learning algorithms to solve real-world problems.
  • Proven experience in coding algorithms from research papers into production-ready code (Python preferred).
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production.
  • 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 (e.g. git, Sagemaker, VS Code)
  • A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  • Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
  • A passion for mobile gaming and a strong desire to create engaging player experiences.
Responsibilities

As a leading mobile gaming studio focused on casual puzzle games with millions and millions of users, we’re on a mission to create engaging and personalised experiences for our players.
In this role, you’ll be at the forefront of building and implementing algorithms that will take our player experience to the next level.

Key Responsibilities

  • Conduct research on cutting-edge machine learning algorithms for personalisation in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
  • Designing 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 Lifecyecle.
  • 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 your work clearly and concisely, fostering knowledge sharing within the team.
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