Elance, Inc.

Upwork Global Inc.

Yuet Ping Poon

Anthony M Hahn

Fabio Rosati

Ayyappan Arasu

Ved Ranjan Sinha

Rajasekhar L Kovuru

Maurizio A Gianola

Sunny SunMin Song

Jonathan Paul Diller

Varun Kacholia

Kwan-Min Chiu

Megan Emily Kamil

Kevin Raji Cherian

Partha Sarathi Pati

An intelligent scheduler system implemented by one or more computer for objectively selecting interviewers for an interview of a candidate for a job opening at an organization. The one or more computers includes a storage device and a processing device to generate a calibrated job profile, generate an enriched talent profile of the candidate, identify, based on the calibrated job profile and the enriched talent profile, an aspect of the candidate to be evaluated during the interview, execute a deep neural network comprising an input layer to receive the aspect, the enriched talent profile of the candidate, and the enriched talent profiles of the potential interviewers, and an output layer to output match scores each indicating an effective measure of a corresponding one of the potential interviewers for evaluating the aspect during the interview, and determine, based on the match scores, qualified interviewers from the potential interviewers.

System, method, and computer program for scheduling candidate interview

Embodiments of the present invention are directed to an onboarding dashboard and methods and system thereof for transitioning candidates into welcomed and engaged workers. In an online services exchange medium, clients find and hire freelancer candidates 'on demand' to get projects done quickly and cost effectively. A client is able to use the onboarding dashboard to configure onboarding tasks for each individual or group of candidates the client hires. The candidates, once engaged with the client, are able use the onboarding dashboard to view the onboarding tasks established for them by the client. The onboarding dashboard provides complete visibility of the onboarding progress to both the client and the candidates, enforcement of step dependencies and management of documents.

Onboarding dashboard and methods and system thereof

Embodiments of the present invention are directed to a system and method of calculating a match score and mapping the match score to a level. Interested contractors in a list are ranked based on a rank score that is calculated for each of the interested contractor using a set of factors. The rank score is a combination of factor scores associated with the factors. A mapping engine, implementing a machine learning model, maps each of the interested contractors to one of at least two levels based on the set of factor scores, by comparing the set of factor scores to historical data collected to determine the likelihood of the contractor having that set being chosen by the client. Any interested contractor who has been mapped to the highest level is distinguished from others in the list. The mapping engine continuously learns from the historical data to improve future mappings.

Machine learning based system and method of calculating a match score and mapping the match score to a level

A workroom is automatically established for each job created and is associated with a unique email address. The workroom allows members to hold live meetings, communicate in real-time, including via email, upload/manage/share files, and automatically provide transcripts of communication. The workroom also allows team members to launch work trackers directly from the workroom. A work tracker collects work information and directly generates one or more status reports based on the work information collected. A status report includes a back-end version viewable and modifiable by a service provider and a front-end version viewable by a buyer. The status report directly generates an invoice based on the information from the status report. The invoice is submitted to the buyer and allows the buyer to directly pay the service provider.

System for status reporting and invoicing of work tracked from a work tracker

Authenticated session work tracking and job status reporting apparatus

Digital workroom

Growing community of inventors

Cupertino, CA, United States of America

Yuet Ping Poon