Position: Senior Machine Learning Engineer, Natural Language Processing
Company: P2H
Category: Data Science
Experience required: 5y
English level: upper
Published: 2022-10-01T00:00:00+03:00

Hours: 4 hour overlap with EST (8 AM-5 PM ET)

Your impact:
· Improving existing or developing new traffic segmentation algorithms and estimations of bid landscapes within each segment
· Optimize real-time bidding strategies and auction mechanics to efficiently spend ad budgets delivering campaign targets given various constraints
· Supporting and enhancing the existing work on health user profiling, prediction, and targeting tools
· Contributing on projects relating to patient/physician identity for cross-device tracking, profiling and targeting
· Supporting existing codebase for data integration and production support for our core models

We are looking for someone who:
· Has 5+ years of NLP or relevant contextualization experience
· Advanced knowledge of Python using numpy & pandas
· Being able to optimize and speed up code
· Algorithms and Data Structures--Sorting, search tree, binary heap, trie; Time & mem complexity of algorithms
· Probability & Statistics-Markov processes and its stationary distributions; Stochastic matrix and properties of its eigenvalues; Bayesian inference and conjugate distributions; Two-sample hypothesis testing
· ML & DS--Dimensionality reduction; Geometry of PCA and SVD; Geometry of L1 and L2 regularisation (Why does L1 result in feature selection?); Decision Trees; Collaborative filtering; Thompson sampling; MCMC; Boosting, (Biases in Boosted DT); Bagging
· Neural Networks--Embeddings; Encoders; Drop-out; CNN, RNN; Internal covariate shift
 
Our benefits:
· 24 days for rest, 10 days for health and well-being
· Unlimited recovery from covid
· Support in relocation to Poland or Portugal after 1 year of work
· Сoworking space – compensated partially. Unlimited coworking in Lviv and Vinnytsia, where P2H coworking spaces are located. We are also starting to open offices in Katowice and Lisbon.
· Unlimited learn and development budget
· Sports club membership – compensated partially
· We are not fans of overtime and encourage our teams to plan time for work and rest. 
· Full accounting and legal support for private entrepreneurs