Senior Machine Learning Engineer

Nexxen•New York, NY

9d•$180,000 - $220,000

About The Position

The Sr. Machine Learning Engineer will join our Nexxen DSP Software Development group. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive and innovative in these domains, this is a phenomenal role for you!

Requirements

Bachelor in Computer science or related field of study
5+ years of engineering experience working at leading technology companies.
A history of successfully taking ownership of features/functionality and delivering end-to-end project
Strong knowledge of and experience implementing AI/ML technologies (Neural Network, ONNX), mathematics, and statistics
Expertise in Java, Python, and Scala
In-depth knowledge of data structures and algorithms
Experience building applications on top of large-scale ML/DL frameworks (TensorFlow, PyTorch)
Expertise working with data processing tech stack (Spark, MapReduce)
Expertise in building data-driven services and applications (ETL)
Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required
Strong communication skills with the ability to communicate complex concepts to non-technical stakeholders

Nice To Haves

MS or PhD in computer science or equivalent experience.
Experience within AdTech industry.
Experience in LLM and GenAI.

Responsibilities

Develop critical high-performance, large-scale services for Nexxen DSP Programmatic integrations and Platform product
Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance real-time ad scoring and ranking system for bid optimization
Develop scalable and efficient approaches for large scale data analysis and model development
Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization
Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment
Help troubleshoot production and customer issues
Follow agile methodologies and work in a fast-paced environment where one can quickly see the results of the work being performed