Senior Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at Toogeza. Philadelphia · full-time · no salary stated · we estimate $181,150–$247,500 across the United States.
Toogeza has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Develop and run CTR and CVR prediction models for ad ranking and recommendation products
- Shape creative interpretation and user behavior systems to improve context-aware engagement forecasts
- Check model health, tune prediction calibration, and tackle drift and delayed feedback early
- Translate complex technical ideas into accessible, outcome-led explanations for non-engineering colleagues
What you bring
- A relevant master's or doctoral degree, or comparable hands-on expertise
- More than three years building and running high-volume ad delivery and optimization platforms
- Practical work with CTR or CVR prediction, creative or content understanding, or user behavior models
- Strong command of Python, Go, Scala, C++ or a similar general-purpose language
- Knowledge of metric design, A/B testing, and large-scale data analysis and processing
Who this fits
This senior role suits an engineer focused on ad prediction models, ranking, recommendations, and reliability. You’ll also need to explain technical choices clearly to people outside engineering.
From the employer
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