Sr. Machine Learning Engineer, AdTech

CMP.jobs New York, NY Open
CMP.jobs is looking for Sr. Machine Learning Engineer, AdTech in New York, NY.
This local job opportunity with ID 3568764172 is live since 2026-02-25 02:03:31.
Sr. Machine Learning Engineer, AdTech As a member of our Data Science Engineering team, the Sr. Machine Learning Engineer, AdTech will focus on optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets. In addition to the above, you will work with the greater Data Science/Engineering teams on: - Analyzing and optimizing real-time bidding strategies and online auction mechanics; - Developing new or improving existing models of event predictions; - New feature engineering for multiple machine learning models: - User embeddings and clustering; fraud detection, etc. - Cross-device user identification, cookieless mechanisms development; - Mining different data sources; - Supporting existing codebase for data integration and production support for our core models. Requirements: 5 years minimum of experience in machine learning/data science Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R - Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.); Being able to optimize and speed-up code. - 3+ years of RTB Auction or similar online technologies. In addition to the above, you’ll need to have strong knowledge in the following areas: - Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie; time & mem complexities of algorithms) - Probability and Statistics (e.g., hypothesis testing; Markov process and its stationary distributions, stochastic matrix and its properties; Bayesian inference) - ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 regularisation, Decision trees and their ensembles, collaborative filtering, Thompson sampling / MCMC, Neural Networks, etc.) read more

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