Smarsh is hiring a
Research Engineer III

Summary

The job description is for a Research Engineer position at Smarsh. The role involves analyzing unstructured communications data, developing machine learning models, and collaborating with various teams. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, 1+ year of research experience, and familiarity with Python and various data science and machine/deep learning frameworks.

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

Responsibilities

• Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
• Data annotation and quality review
• Exploratory data analysis and model fail state analysis
• Attend and actively participate in planning, stand-ups, retros, and other team meetings and discussions
• Contribute to Research discussions

Preferred Qualifications

• Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
• 1+ year experience working with NLP, text analytics/classification, audio analytics
• Knowledge of transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, and GPT-x etc.)
• Experience in using various Large Language Models (LLM)
• Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
• Cloud computing (AWS, GCS, Azure)

Benefits

$145,000 - $160,000 a year