Enhance A.I. algorithims in Recruiting Technology - ON-1268

Genre de projet: Recherche
Discipline(s) souhaitée(s): Informatique, Sciences mathématiques, Mathématiques, Affaires, Sciences sociales et humaines
Entreprise: RecruitRise Inc.
Durée du projet: 4 à 6 mois
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Toronto, ON, Canada
Nombre de postes: 1
Niveau de scolarité désiré: CollègeÉtudes de premier cycle/baccalauréatMaîtriseDoctorat
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

RecruitRise is a cutting-edge AI-driven platform aimed at transforming the talent acquisition process. Utilizing artificial intelligence and machine learning it boosts recruiter productivity, fosters candidate diversity, and streamlines the hiring pipeline. The platform integrates all essential stages of recruitment—sourcing, screening, engagement, and hiring— into one cohesive solution. RecruitRise effectively tackles major industry challenges, including manual workflows, high operational costs, and diversity biases, providing comprehensive solutions to enhance recruitment marketing and job advertisement effectiveness.

Veuillez décrire le projet.: 

RecruitRise is an AI-powered recruitment platform that aims to revolutionize the way companies source, screen, and engage talent. This project focuses on developing and refining advanced artificial intelligence algorithms to improve efficiency, diversity, and fairness in the hiring process.

The core innovation lies in enhancing our AI-driven matching engine, which intelligently connects candidates with job opportunities based on nuanced data points such as skills, experience, cultural fit, and communication patterns. The goal is to reduce hiring bias, shorten time-to-hire, and increase the quality of candidate placements.

The candidate will work closely with our product and data science teams to improve existing models and develop new AI features. Tasks include:

Conducting research on state-of-the-art natural language processing (NLP) techniques for resume parsing and job description analysis.

Enhancing machine learning models for ranking and matching candidates to job roles.

Improving AI-driven outreach personalization to optimize candidate engagement.

Analyzing system bias and implementing fairness-aware algorithms to promote inclusive hiring.

This innovation project will contribute to both the commercialization of a highly scalable AI product and the advancement of ethical and effective recruiting technologies. By the end of the project, we expect to launch improved AI modules that are smarter, fairer, and more adaptable to the needs of both employers and job seekers across industries.

Expertise ou compétences exigées: 

Artificial Intelligence;  Machine Learning; Computer Science; Business Research