Machine Learning Engineer
Core
Build and maintain high-frequency ML infrastructure for a real-time advertising auction environment, predicting user characteristics and optimizing advertiser outcomes.
Role type
Machine Learning Engineer (Real-time Systems)
Builds
High-frequency ML systems for real-time ad auctions
Domain
Digital Advertising / Real-time Bidding
Deliverable
production ML models
Required skills
Python, Java, Probability, Statistics, Hypothesis Testing, Classification, Regression, Clustering, Ranking, NLP, LLMs, PyTorch, Scikit-learn, XGBoost, Pandas, NumPy
Preferred skills
Distributed system design, Concurrent algorithms, Data structures, Software engineering
Responsibilities
Design, code, test, and debug ML applications for large-scale global systems; Run ML experiments to test new modeling ideas; Collaborate with senior scientists to iterate on models; Write clean, efficient, and maintainable code; Identify performance bottlenecks and optimize system components; Keep up to date with developments in machine learning.
Seniority
Junior (0-2 years experience)
