Real-Time Ad Tech ML Engineer — Scalable AI & Optimization

Nexxen; Baltimore (MD); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability insurance

401(k)

EAP

Parental leave

Discretionary time off

Company-paid holidays

Job summary

Nexxen is seeking a Sr. Machine Learning Engineer to join the Applied Data Science group.

The role focuses on building applied data science infrastructure for real-time performance optimization and machine learning solutions in a hybrid environment. You will develop high-performance services for programmatic integrations, apply AI/ML to ad scoring and bid optimization, and design scalable ad algorithms while collaborating with cross-functional teams.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5+ years engineering experience.
• Expertise in AI/ML.
• Proficiency in Java, Python and Scala.
• Experience with NoSQL databases (Aerospike, Cassandra).
• Experience with ML/DL frameworks (TensorFlow, PyTorch).
• Data processing experience (Spark, MapReduce).
• Strong communication skills.

Responsibilities

• Develop high-performance large-scale services for programmatic integrations.
• Apply AI/ML to real-time ad scoring and bid optimization.
• Design ad algorithm architecture.
• Perform scalable data analysis.
• Collaborate with cross-functional teams.

Skills

Java

Python

Scala

NoSQL databases

ML/DL frameworks

Data processing

Strong communication

Education

Bachelor's degree in Computer Science or related field

MS or PhD

Tools

Spark

MapReduce

Job description

Nexxen is seeking a Sr. Machine Learning Engineer to join the Applied Data Science group.

The role focuses on building applied data science infrastructure for real-time performance optimization and machine learning solutions in a hybrid environment. You will develop high-performance services for programmatic integrations, apply AI/ML to ad scoring and bid optimization, and design scalable ad algorithms while collaborating with cross-functional teams.