Great experience
Pros: Everything's good. Nothing to complain about here
Cons: Nothing to complain about here
View on Glassdoor
Level AI headquartered in Mountain View, US has 1 active tech role on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
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Posted last 7 days
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What employees say
+ Everything's good. Nothing to complain about here
− Nothing to complain about here
Recent Glassdoor reviews · 98 total
Pros: Everything's good. Nothing to complain about here
Cons: Nothing to complain about here
View on GlassdoorPros: Good work-life balance Flexibility Quickly evolving, a good opportunity to learn new things Good employee benefits
Cons: Tasks can be repetitive at times
View on GlassdoorPros: Skill Growth and technical development
Cons: None that I can think of
View on GlassdoorPros: Pay is okay-ish as per Product based Tier II company.
Cons: -Regular layoff that create an environment of threat. -Constantly leaving customers, high churn rate. Sinking ship -no proper cross team communication and things do not move due to this. -No one to handle cross-pod communication, there is one tpm but he is kinda useless. engineering team has to waste a lot of bandwidth there. -Senior management has no clarity in company vision and often there are clashes -No cross-team activities/etc from HR dept. No one actually cares. -Incoming SDEs are not of great quality batches - Over burdened QA teams resulting in high bugs and customer complaints.
View on GlassdoorPros: Work on modern AI stack including LLMs and data-driven products Smart and collaborative engineering team Good exposure to real-world enterprise AI deployments Opportunity to take initiative and build impactful features
Cons: Cross-team communication can sometimes improve
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Senior Machine Learning Engineer - NLP (Bangalore/Noida Location) | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 7 total · avg difficulty 3.1/5 · 5 questions indexed
After being contacted by the HR team regarding the opportunity, the interview was scheduled and conducted in online mode. This was the first round of the selection process and took place as a one-on-one interaction with the interviewer, focusing on assessing foundational knowledge and relevant experience.
Sample questions
1. First Round: Simple Question, no coding only logical solution 2. Second Round: System Design, medium level 3. Third Round: DP Medium, Final Verdict: Rejected, failed to solve DP medium
Had multiple rounds of interview - they went fairly well and than was ghosted for no reason at all. Suddenly, recruiter will stop picking your call. They don't value people's time and thats the reason they find it difficult to hire good people. Will not recommend interviewing with them.
Sample questions
The Talent Acquisition team member was extremely helpful in providing detailed insights about the company and the role. I went through below interview process: - 2 technical interviews - 3 leadership discussions with founders and VPs - 1 conversation with HR leadership
Sample questions
1st round hacker rank test 2nd DSA interview( one Easy to med leetcode , explanation of approach + Code, time and space complexity ) 3rd System design and resume projects(Basic ques) 4th HR Round (salary discussion and negotiation )
Sample questions
Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.
Top hiring roles: Engineering
Last updated 17 September 2026
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