Sr. Machine Learning Engineer, AdTech
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.)
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.)