Senior Machine Learning Engineer

Datacontroller Toogeza Ltd.; Pennsylvania; On-site; USD 120,000 - 190,000; Full time

Job summary

Datacontroller Toogeza Ltd. is seeking a data-driven ML engineer to join our ad-tech platform. You will help design, implement, and optimize CTR/CVR models that drive ranking and recommendations using rich first-party data at global scale.

You will collaborate with leadership to shape the architecture, improve model quality, and ensure measurable impact across iGaming, Forex, and beyond, while communicating complex ideas to non-engineering stakeholders.

Qualifications

• An MS or PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
• Over 3 years of hands-on experience developing and operating large-scale ad delivery and optimization systems.
• Experience working with CTR/CVR modeling, creative or content understanding, or user behavior modeling.
• Strong proficiency in Python, Go, Scala, C++, or similar programming languages.
• Solid grasp of metric design, experimentation methods (A/B testing), and large-scale data processing.

Responsibilities

• Design, implement, and maintain high-performance CTR and CVR prediction models powering ad ranking and recommendations.
• Build and refine systems for creative understanding and user behaviour modelling for accurate engagement predictions.
• Monitor model quality, calibrate predictions, address data drift and delayed feedback for reliability.
• Communicate complex technical concepts clearly to non-engineering stakeholders with outcome focus.

Skills

CTR/CVR modeling

High-performance systems

Communication with stakeholders

Education

MS/PhD in CS/ML/Statistics or related

Tools

Python

Go

Scala

C++

Job description

Opportunity Description

This is an opportunity to join a data-rich technology leader with a combined audience of hundreds of millions of players worldwide. We’re building an Ad Network, leveraging best-in-class industry solutions to unite supply and demand intelligently in underserved digital segments.

Our platform is powered by unique access to rich first-party user data derived from our massive owned audience, which gives us an undeniable edge in delivering superior user profiling and higher-performing campaigns.

We are initially focused on dominating the high-value iGaming vertical, leveraging this data advantage, with a clear strategic goal of rapidly scaling into other lucrative segments, such as Forex and beyond. You’ll work alongside a leadership team with deep experience from top big tech companies and industry-leading ad platforms, stepping into a pivotal role that offers the chance to define the foundational architecture and deliver immediate, massive impact on a globally scaled product.

What You’ll be doing

• Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems.
• Build and refine systems for creative understanding and user behaviour modelling, enabling more accurate and context-aware engagement predictions.
• Responsible for model quality and reliability by monitoring performance, calibrating predictions, and proactively addressing data drift and delayed feedback.
• Clearly communicate complex technical concepts to non-engineering stakeholders in an accessible, outcome-focused way.

What we’re looking for

• An MS or PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
• Over 3 years of hands-on experience developing and operating large-scale ad delivery and optimization systems.
• Experience working with CTR/CVR modeling, creative or content understanding, or user behavior modeling.
• Strong proficiency in general-purpose programming languages such as Python, Go, Scala, C++, or similar.
• A solid grasp of metric design, experimentation methodologies like A/B testing, and large-scale data processing and analysis