Senior ML Engineer - Real-Time Ad Tech & Optimization

Digital Turbine, Inc.; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Digital Turbine, Inc. in New York is seeking a Senior Machine Learning Engineer to design and scale ML systems powering ad ranking, bidding, and recommendations. You will build pipelines and serving infrastructure handling billions of events with low latency.

Collaborate with data science and product teams, improve CTR/CVR/ROAS, and stay ahead with applied ML research. This role supports a hybrid work model and requires strong software fundamentals and advanced ML frameworks.

Qualifications

• 8+ years building production ML systems in AdTech or related fields.
• Strong software fundamentals and proficiency in Python; Java/Scala/C++ a plus.
• Experience with PyTorch, TensorFlow, or JAX and distributed compute.
• Record of shipping models that improved CTR/CVR/ROAS.

Responsibilities

• Design, build, and deploy large-scale ML systems for ad ranking, prediction, and recommendation.
• Operate production ML pipelines: feature engineering, training, deployment, retraining, monitoring.
• Collaborate with DS, DE, and product teams; run online experiments.
• Stay current with ML research and apply to advertising.

Skills

ML systems

Python

Java/Scala/C++

PyTorch/TF/JAX

Distributed systems

Model monitoring

Feature stores

Online learning

Education

Master's or PhD in CS/ML

Tools

Spark

Beam/Dataflow

Flink

Databricks

Job description

Digital Turbine, Inc. in New York is seeking a Senior Machine Learning Engineer to design and scale ML systems powering ad ranking, bidding, and recommendations. You will build pipelines and serving infrastructure handling billions of events with low latency.

Collaborate with data science and product teams, improve CTR/CVR/ROAS, and stay ahead with applied ML research. This role supports a hybrid work model and requires strong software fundamentals and advanced ML frameworks.