Machine Learning Engineer
Remote | Worldwide
Adxe is building an AI-powered programmatic advertising platform. We are looking for a Machine Learning Engineer to develop and improve the predictive models that drive our real-time bidding decisions. This role offers flexible working arrangements with a fully remote model.
What You Will Do
Build and improve predictive models for click-through rate and conversion optimization
Design and optimize feature engineering pipelines for large-scale ad data
Deploy and monitor models in a production environment with low-latency requirements
Collaborate with backend engineers to integrate ML inference into the bidding pipeline
Research new modeling approaches to improve campaign performance
Analyze bid-level data to identify new predictive signals
Required Experience
Proven experience with gradient boosting frameworks in production
Strong Python skills with experience in data processing at scale
Experience with recommendation systems or CTR/CVR prediction
Knowledge of binary classification models and evaluation metrics
High level of proficiency in English
Proactive, highly motivated individual with strong ownership mentality
Nice to Have
Experience in ad-tech or programmatic advertising
Familiarity with real-time bidding protocols
Experience with deep learning approaches for recommendation systems
Location
Remote
Employment type
Remote | Worldwide
Department
Engineering
Compensation
$100k – $140k