Jobs / Tri***
Senior Machine Learning Engineer
Tri*** · London, ENG, United Kingdom
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London, ENG, United KingdomHybrid
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Sponsors visa
Job summary
Tri*** 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.
Qualifications
- The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.
Responsibilities
- Within the various studios and other central teams, you will interact with data, engineering, and product teams.
- Implement cutting-edge ML algorithms for personalization 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 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 your work clearly and concisely, fostering knowledge sharing within the team.
- What we’re looking for
- A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
- Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)
- Experience in applying machine learning algorithms to solve real-world problems.
Skills
Communication
Degrees
AssociateBachelorDegree
Industry
BankingGaming
Company size
Smb
Security clearance
Confidential