How Laurel & Yanny have been looking for a machine learning engineer: search output
Have you been missing Laurel & Yanny? Here they are going on with their search of machine learning engineer! In this episode, they are proceeding to the next level – working with the search output.
If you’ve forgotten how Laurel & Yanny have been creating a search query, follow their adventures here.
Here is a vacancy Laurel & Yanny are working at:
Today Laurel & Yanny are working with the search output, the process is 3-step. They filter, sort and screen candidates. Let’s see how they’ve managed.
Using search filters
To choose among the most relevant candidates Laurel & Yanny filter the search output.
Yanny ticked “not specified” filter positions for “Years of experience”, “Available contacts” and “Seniority level”. It will help not to lose relevant candidates whose profiles lack filter information.
*Yanny remembers that if there is no contact information in candidate’s profile, he can always use links to accounts of the candidate in social and professional communities and contact him/her there.
He excluded candidates with the manager and executive seniority levels to find strong hands-on engineers rather than C-level professionals with managerial skills and experience.
He also excluded company he works at and added company known for employing the best machine learning specialists.
Laurel didn’t use the “not specified” filter parameter – she narrowed the search output by excluding potentially relevant candidates whose profiles lack the needed information.
To make the search more focused Laurel should also have used the “Seniority level” and “Company” filters. This could have made the further screening process more effective as she would search among relevant candidates.
To find the machine learning stars Laurel & Yanny sort the search output. It will help to focus on finding the best specialists and the key contributors to open-source projects.
Yanny sorts the search output by Kaggle rating as Kagge is the world’s largest community of data scientists and machine learners.
Laurel tried to do the same but forgot to add the machine learning skill to her search query!
*Only consolidated, Github and StackOverflow sorting can work with any skill – Kaggle and Google Play sorting requires including the “machine learning” and “android” skills accordingly in the search query.
One more thing Yanny is more successful with is screening. He analyses the candidate’s short card before opening the full profile. He screens all the main information: position, company, work experience, location, education and main skills. He also opens the comment section to monitor the comments left to the profile by him or his colleagues.
He screens profiles right from the search output – it saves time and doesn’t slow down the browser’s work.
Laurel opened too many full profiles and got lost among them. Her browser doesn’t respond.
Let’s praise Yanny for such an excellent work and wish good luck to Laurel 🙂
In the next episode, we will see how good Laurel & Yanny are at pipeline management.
Join the AmazingHiring Sourcing Community
Applicant tracking system (ATS) is a recruitment software that serves departments of human resources and particularly sourcing and recruitment by processing and analyzing massive amounts of job applications and storing all candidate data. The fact that 99% of Fortune 500 companies utilize applicant tracking systems illustrates the importance of this tool. There are a variety […]
We have already written plenty about the fact that if you want to find a strong developer, usual sourcing resources are not very helpful: top developers do not search actively for new jobs and do not use regular job boards or on LinkedIn. You will have to use specialized sites to find top tech talent. […]
Great sourcing experts are like great marketers — they follow where potential candidates’ attention goes. Of course, more traditional platforms and social media like Facebook, or LinkedIn, or GitHub are not going anywhere. Yet, new emerging online gathering places for tech talent are noteworthy for sourcing practitioners out there. Over the last years, Telegram has […]