Machine Learning Engineer 2
Core
Designing and deploying machine learning algorithms and data pipelines for ad transaction platforms across video, data, and sales channels.
Role type
Machine Learning Engineer
Builds
Ad transaction platforms for publishers, advertisers, and media buyers
Domain
Digital advertising / Machine Learning
Deliverable
production ML models
Required skills
Python, backend system design, data structures, algorithms, testing methodologies, debugging, ML model training and validation, data pipeline design
Preferred skills
C++, pytest, CI/CD tools, Git, DevOps principles, Docker, Kubernetes, cloud platforms, AWS, ML Ops, container orchestration, patent writing, API design
Technologies
Python, pytest, Jenkins, Docker, Kubernetes, AWS
Responsibilities
Implementing and validating ML algorithms, training models and managing production deployment, designing data pipelines, researching and authoring technical documentation, testing ML solutions, designing proof of concept solutions
Seniority
Mid-level, hands-on IC
