Senior Machine Learning Engineer Barcelona

Tripledot Studios Limited

Barcelona

Presencial

EUR 70.000 - 95.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Hybrid Working
Private Medical Cover
Life & Critical Illness Cover
Meal and Transport Vouchers
English & Spanish Classes
Continuous Professional Development

Descripción de la vacante

Tripledot Studios Limited is seeking an ML Engineer to join our AI group in Barcelona. You will design and implement personalization models for our mobile games, collaborating with data engineers, researchers, and product teams to improve retention and revenue.

You’ll prototype production-ready code, run A/B tests, and advance MLOps practices, CI/CD, and scalable deployment on Kubernetes. Fluency in Python/SQL and strong analytical skills are essential.

Formación

  • Bachelor's degree in a quantitative field (e.g., CS, math, statistics) or equivalent experience.
  • Strong understanding of ML techniques from classical to RL and generative methods.
  • Experience applying ML to real-world problems.
  • Experience with CI/CD, Docker & Kubernetes and deploying ML models to production.
  • Analytical programming and visualization skills (SQL, Python, matplotlib, etc.) and familiarity with ML tooling (MLFlow, Kubeflow, Kubeflow, Trino, AirFlow).
  • Solid grasp of statistical concepts (hypothesis testing, sampling, distributions).
  • Excellent communication to bridge tech and non-tech teams.
  • Experience with generative AI copilots/agents in daily work.
  • Passion for mobile gaming and player-centric results.

Responsabilidades

  • Implement cutting-edge ML algorithms for personalization in gaming.
  • Design experiments and prototypes to test AI model viability and efficiency.
  • Translate research findings into production-ready algorithm prototypes.
  • Convert prototypes into production code for scalable deployment.
  • Design, develop, and evaluate A/B tests to measure personalization impact.
  • Monitor and analyze player data to identify personalization opportunities.
  • Document work clearly to aid knowledge sharing within the team.

Conocimientos

Quantitative degree
ML techniques
Production ML deployment
CI/CD & MLOps
Python & SQL
Data visualization
Collaborative communication
Generative AI familiarity

Educación

Bachelor's degree in CS/Math/Stats

Herramientas

Docker
Kubernetes
MLFlow
Kubeflow
AirFlow
Trino

Descripción del empleo

Tripledot Studios 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 AI group

The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners.

Role Overview

Within the various studios and other central teams, you will interact with data, engineering, and product teams. 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. Progression opportunities will be within the AI group or to studios in the group.

Key Responsibilities
  • 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 personalization algorithms and optimise player experience.
  • Continuously monitor and analyse player data to identify new opportunities for personalization 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.
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.
  • A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).
  • 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.
  • Experience with using generative AI copilots or agents in daily development work.
  • A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.
Bonus points if you also have
  • Experience with more complex ML techniques (e.g. Reinforcement Learning).
  • Experience with A/B testing methodologies in an online gaming context.
  • Experience working in the games industry.
Working at Tripledot

25 days paid holiday in addition to bank holidays to relax and refresh throughout the year

Hybrid Working

20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.

Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.

Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands.

Life & Critical Illness Cover: Protect your future with our life and critical illness cover.

Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]

Employee Assistance Program: Access confidential support anytime through our Employee Assistance Program.

Sport Compensation: Stay fit and active with our sport compensation benefit.

Meal and Transport Vouchers: Save on meals and transport with our convenient vouchers.

English & Spanish Classes: Enhance your English and Spanish skills with our provided language classes.

Continuous Professional Development: Propel your career with continuous opportunities for professional development.

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