Machine Learning Engineer
Core
Design and implement machine learning, information extraction, and probabilistic matching algorithms to power a talent acquisition platform.
Role type
Machine Learning Engineer
Builds
Scalable ML algorithms and data models for a talent experience marketing platform
Domain
Talent acquisition / HR technology
Deliverable
production ML models
Required skills
Machine Learning, Information Extraction, NLP, Deep Learning, Java, Python, Scala, Hadoop, Spark, Kafka, Linear Algebra, Applied Statistics, Probability, Multithreaded software development
Preferred skills
Building large-scale software systems, predictive analytics, data mining, dialogue systems, information retrieval, recommendation systems
Technologies
Python, Java, Scala, Hadoop, Spark, Kafka, AWS, Keras, TensorFlow
Responsibilities
Design and implement ML and probabilistic matching algorithms; Research and develop scalable solutions; Collaborate with scientists and engineers to address challenges; Scale ML algorithms to support growing data volume; Build end-to-end ML architecture including data flows and algorithm scalability.
Seniority
Mid-Senior, hands-on IC
