Senior ML Engineer: Dynamic Pricing & Recommenders (Hybrid)

Tripledot Studios Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid Working

Private Medical Cover

Life & Critical Illness Cover

Meal and Transport Vouchers

English & Spanish Classes

Continuous Professional Development

Job summary

Tripledot Studios is seeking a Senior Machine Learning Engineer to work on dynamic pricing and recommender systems for our mobile games. You will focus on tabular ML, exploring features and model issues while collaborating with monetization and product teams on A/B testing.

In six months, you’ll help set model direction and contribute to the training pipeline, with the goal of aligning ML objectives to revenue and player outcomes. The role offers hybrid working in the UK and global collaboration.

Qualifications

• Hands-on training and evaluation of tabular models, including neural networks and gradient-boosted trees.
• Proficiency in designing features and labels, and selecting metrics for model decisions.

Responsibilities

• Build and improve training pipelines for dynamic pricing and recommender systems.
• Monitor model performance across games and products and investigate data shifts.

Skills

PyTorch

SQL

Feature design

Model evaluation

Explainability

Recommender systems

ML deployment

Tools

PyTorch

TensorFlow

XGBoost

CatBoost

scikit-learn

Job description

Tripledot Studios is seeking a Senior Machine Learning Engineer to work on dynamic pricing and recommender systems for our mobile games. You will focus on tabular ML, exploring features and model issues while collaborating with monetization and product teams on A/B testing.

In six months, you’ll help set model direction and contribute to the training pipeline, with the goal of aligning ML objectives to revenue and player outcomes. The role offers hybrid working in the UK and global collaboration.