(Sr.) Machine Learning Engineer, AdTech (Remote, International) at PulsePoint — Remote, IND | Base Career

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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.
India, Netherlands, UK: we can hire as FTE
Other countries: we can hire as long-term contractor
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.
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 (Remote, International)