Software Engineer II (DataCebo, Inc.) Boston, MA

Datacebo
Boston, Massachusetts, US
Full-time

Join us to create the future of Generative AI

Who we are

Are you the right applicant for this opportunity Find out by reading through the role overview below.

We are the proud creators of the Synthetic Data Vault, the largest source available ecosystem for generative models for tabular data.

The Synthetic Data Vault is a system of open source libraries designed to help you with synthetic data generation & evaluation!

Product

Software Engineer II (DataCebo, Inc.)

Full Time

Write, update, and design code with the goal of developing software frameworks to test the realism of the output of DataCebo’s new Generative Artificial Intelligence (AI) Models. Duties include :

  • Benchmark new Generative AI models for the product.
  • Develop software frameworks to test the realism of the output of new Generative AI Models.
  • Develop and test extensible code and software abstractions for generative AI.
  • Audit and fix bugs with, and perform general maintenance for, our code base.
  • Implement and design new software features.
  • Present improvements to our software architecture to existing and prospective customers, especially when pertaining to machine learning.
  • Study all new updates which happen to our software.
  • Handle team communication, including scheduling meetings and monitoring messages and emails.

May telecommute from any US location.

A Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, Electrical Engineering & Computer Science, or a closely related technical discipline, followed by 3 years of post-baccalaureate experience in a software development-related occupation.

Experience must include the following, which may have been gained concurrently :

  • 1) 3 years of experience developing software related to generative AI;
  • 2) 3 years of experience coding in Python;
  • 3) 3 years of experience with Machine Learning;
  • 4) 3 years of experience with data science libraries, including Numpy, PyTorch, SciPy, and Pandas.

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1 day ago
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