Research Engineer II

October 25

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Smarsh

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cloud-based solutions • data-leak prevention • risk-based surveillance • information governance solutions • digital communications compliance

1001 - 5000

💰 Private Equity Round on 2016-01

Description

• Smarsh empowers customers to manage risk and unleash intelligence in digital communications. • Analyze unstructured communications data to address customer problems. • Develop and evaluate new research ideas while improving existing capabilities. • Collaborate with teams to analyze complex data and create insights. • Opportunity to interface with various experts in machine learning and analytics.

Requirements

• Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field with research emphasis • 1+ year research experience working with data & analytics (including school) • Experience working with Python • Familiarity with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, lightning, Nvidia NeMo • Experience using Git, Linux/Unix, an IDEs • Familiar with multi-modal unstructured communications data (text, speech, image/video) • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field (preferred) • 1+ year experience working with NLP, text analytics/classification, audio analytics (preferred) • Knowledge of transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, and GPT-x etc.) (preferred) • Experience in using various Large Language Models (LLM) (preferred) • Experience with natural language processing toolkits like NLTK, spaCy (preferred) • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes (preferred) • Cloud computing (AWS, GCS, Azure) (preferred) • Multi-lingual communication skills / experience (preferred)