Senior Machine Learning Engineer, AdTech

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

Benefits offered by this job

Medical insurance

Dental coverage

Vision care

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. You will build real-time performance optimization infrastructure and ML solutions for programmatic ads.

Responsibilities include developing scalable services, optimizing ad scoring and bidding, designing algorithms, and deploying end-to-end ML pipelines. Requires 5+ years in AdTech with Java/Python/Scala and TensorFlow/PyTorch.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5+ years engineering experience at a leading AdTech vendor.
• Strong AI/ML expertise with practical deployment.
• Proficiency in Java, Python, and Scala.
• Experience with NoSQL databases (Aerospike, Cassandra).
• Familiarity with ML/DL frameworks (TensorFlow, PyTorch).
• Data processing tech (Spark, MapReduce).
• Excellent communication skills.

Responsibilities

• Build applied data science infrastructure for real-time performance optimization.
• Develop high-performance, large-scale services for programmatic integrations.
• Apply AI/ML to improve real-time ad scoring and bid optimization.
• Design ad algorithm architecture and scalable data analysis approaches.
• Develop end-to-end algorithms and model development pipelines.
• Collaborate with cross-functional teams; troubleshoot production issues.
• Operate in an Agile environment.

Skills

Java

Python

Scala

Aerospike

Cassandra

TensorFlow

PyTorch

Spark

MapReduce

AI/ML

Communication

Education

Bachelor's degree in CS

MS/PhD preferred

Tools

Aerospike

Cassandra

Job description

The Sr. Machine Learning Engineer will join the Applied Data Science group within Nexxen DSP Software Development. The role involves building applied data science infrastructure for real-time performance optimization and machine learning solutions. Responsibilities include developing high-performance large-scale services for programmatic integrations and platform products, applying AI/ML to enhance real-time ad scoring and bid optimization, designing ad algorithm architecture, developing scalable data analysis and model development approaches, building and optimizing algorithms end-to-end, collaborating with cross-functional teams, troubleshooting production issues, and working in an agile environment. Requirements include a Bachelor's degree in Computer Science or related field, 5+ years engineering experience at a leading AdTech vendor, expertise in AI/ML, Java, Python, Scala, NoSQL databases (Aerospike, Cassandra), ML/DL frameworks (TensorFlow, PyTorch), data processing technologies (Spark, MapReduce), and strong communication skills. Preferred qualifications include MS or PhD, AdTech industry experience, and experience with LLM and GenAI. The position is full-time with a hybrid work schedule (3 days in office, remote otherwise) or fully remote for candidates with senior adtech vendor experience. Salary range in New York is $180,000 - $220,000.

Benefits include

• medical
• dental
• vision
• disability insurance
• 401(k)
• EAP
• parental leave
• discretionary time off
• company-paid holidays