Research Engineer

1 week ago

Singapur, Singapore Singapore-MIT Alliance for Research and Technology Centre Full time

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

  • Extracting content from databases like the Department of Labor's O*Net.

  • Human Curation and editing.

  • Utilizing Large Language Models(LLMs) for content generation.

  • Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

  • Browse, edit, and search the online knowledge base.

  • Extract content from diverse sources.

  • Facilitate human review.

  • Integrate LLMs for content generation.

  • Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

  • Rapid identification of use cases for generative AI tools.

  • Automated generation of detailed workflows and task assignments.

  • Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

  • Design, develop and maintain software tools essential for creating and managing the ontology and its applications.

  • Work closely with a multidisciplinary team of researchers, developers, and content specialists.

  • Integrate Large Language Models into software applications to enhance functionality.

  • Optimize existing codebases for performance and scalability.

  • Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

  • Bachelor's Degree with proven experience and a strong portfolio

  • Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

  • Next.js

  • TypeScript

  • MUI (Material-UI)

  • D3.js

2) Backend:

  • Node.js

  • Firebase and Firebase Cloud Firestore

3) Testing:

  • Jest

  • Cypress

  • Proficiency in LLM Prompt Engineering.

  • Excellent analytical and problem-solving skills.

  • Ability to work independently and collaboratively in a team environment.

  • Strong verbal and written communication skills.

To apply, please visit our website at:

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

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