Senior ML Engineer – Dynamic Pricing & Recs (Remote)

Tripledot Studios Limited; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days paid holiday

Hybrid Working

20 days remote working

Private Medical Cover

Life & Critical Illness Cover

Family Forming Support

Employee Assistance Program

Sport Compensation

Meal and Transport Vouchers

English & Spanish Classes

Continuous Professional Development

Descripción de la vacante

Tripledot Studios Limited redefines mobile gaming with data-driven ML for dynamic pricing and personalized recommendations. You will build and refine tabular models, including neural nets and boosted trees, to improve in-game monetization and user experience.

You’ll engage with monetization and product teams to plan experiments, learn the project goals, and shape the model direction over the first six months, while ensuring production-quality results.

Formación

• Hands-on training and evaluation of tabular models.
• Experience with multiple ML frameworks (PyTorch, TensorFlow, XGBoost, etc.).
• Proficiency in SQL for data extraction and aggregation.
• Investigative approach to incomplete data and long-term requirements.
• Ability to explain model results to monetization and product partners.
• Experience in ad tech or recommender systems is a plus.

Responsabilidades

• Build and improve training pipelines for dynamic pricing and recommender system models, from feature and label design through training, tuning and offline evaluation of tabular models such as neural networks and gradient-boosted trees.
• Monitor model performance once models are live across games and products. Investigate data and concept drift, including shifts tied to new titles, client versions or user behaviour, and make models easier to extend to another product.
• Diagnose missed model outcomes across the training pipeline, business logic and underlying data, then work through the improvements needed to restore model quality.
• Work with monetization and product colleagues to connect model decisions to revenue and player outcomes, and help plan the A/B tests that inform what ships.
• As you get up to speed, identify gaps in the team's understanding of the models and propose improvements to their direction.

Conocimientos

Tabular models

ML feature design

Model evaluation

SQL querying

Analytical mindset

Herramientas

PyTorch

PyTorch Lightning

TensorFlow

XGBoost

CatBoost

scikit-learn

Descripción del empleo

Tripledot Studios Limited redefines mobile gaming with data-driven ML for dynamic pricing and personalized recommendations. You will build and refine tabular models, including neural nets and boosted trees, to improve in-game monetization and user experience.

You’ll engage with monetization and product teams to plan experiments, learn the project goals, and shape the model direction over the first six months, while ensuring production-quality results.