Remote Research Engineer II

Summary

Join Smarsh as a Research Engineer, analyzing unstructured communications data to address customer problems, developing new research ideas, and collaborating with teams to generate insights and solutions.

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)

Responsibilities

• Development of machine learning models and other analytics following established workflows
• 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)
• Experience with natural language processing toolkits like NLTK, spaCy
• 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)
• Multi-lingual communication skills / experience