Research Engineer III

As a Research Engineer at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers. The Research Engineer is responsible for the development and evaluation of new research ideas including development, support, and improvement of existing capabilities. Smarsh is looking for Research Engineers to help shape the frontiers of multimodal communications research.

The role involves working with the Research Engineering team, collaborating with the Data Science team, and aligning with Product Managers to analyze complex communications data, generate insights, and create solutions across various tools and platforms. You'll have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists, and more.

Key Responsibilities:

• Develop machine learning models and analytics (70% of time)
• Interact with stakeholders to understand modeling needs (20% of time)
• Provide machine learning model support (10% of time)
• Perform data annotation and quality review
• Conduct exploratory data analysis and model fail state analysis
• Participate in team meetings and discussions
• Contribute to research discussions

Required Qualifications:

• Bachelor's degree in Computer Science, Applied Math, Statistics, or a related scientific field
• 1+ year of research experience working with data & analytics
• Experience with Python
• Familiarity with data science and machine/deep learning frameworks
• Experience with Git, Linux/Unix, and IDEs

Preferred Qualifications:

• Master's or Ph.D. in a relevant field
• Experience with NLP, text analytics, and audio analytics
• Knowledge of transfer learning and large language models
• Experience with cloud computing platforms

This role offers a unique opportunity to work on cutting-edge machine learning and analytics research, taking it from concept to production. Join Smarsh to shape the future of multimodal communications research and make a significant impact in a fast-paced, innovative environment.