Senior AdTech ML Engineer — Real-Time Bidding & Auctions

PulsePoint; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

401(k) match

Medical, dental, vision insurance

Life & disability insurance

Tuition reimbursement

Paid vacation & holidays

Team-building events

Job summary

PulsePoint is seeking a Senior Machine Learning Engineer, AdTech, to optimize real-time bidding strategies and auction mechanics, ensuring efficient spend and campaign targets. You will build and refine event-prediction models, engineer features such as user embeddings and cross-device signals, and contribute to production data pipelines.

Join a team that values advanced ML methods, rigorous analysis, and collaboration across teams to drive measurable advertising results.

Qualifications

• Minimum 5 years of experience in machine learning and data science.
• Strong knowledge of Python and DS packages (NumPy, Pandas, Scikit-Learn).
• Experience with algorithms and data structures; time and space complexities.
• Experience with real-time bidding or online advertising tech is a plus.
• Solid understanding of statistical methods and ML techniques.

Responsibilities

• Analyze and optimize real-time bidding strategies and auction mechanics.
• Develop and improve models for event prediction and feature engineering.
• Explore user embeddings, cross-device signals, and cookieless identification.
• Maintain and extend production ML code for data integration and model support.
• Mine diverse data sources to improve campaign targets.

Skills

Python

Algorithms

Optimization

NLP

Data Mining

Statistical Analysis

Neural Networks

Generalised Linear Regression

Multiclass Classification

Java

RTB/Online tech

Probability & Statistics

Dimensionality Reduction

Tools

NumPy

Pandas

Scikit-Learn

TensorFlow

Job description

PulsePoint is seeking a Senior Machine Learning Engineer, AdTech, to optimize real-time bidding strategies and auction mechanics, ensuring efficient spend and campaign targets. You will build and refine event-prediction models, engineer features such as user embeddings and cross-device signals, and contribute to production data pipelines.

Join a team that values advanced ML methods, rigorous analysis, and collaboration across teams to drive measurable advertising results.