Amadeus Waltham Office | Glassdoor

Amadeus Waltham, MA (US)

Amadeus Waltham, MA (US) isn't hiring right now.  Check out all Amadeus jobs

Google Maps
  • Amadeus North America Waltham (Boston)   1050 Winter Street, Suite 3000   Get Directions

Amadeus Waltham, MA (US) Reviews

  • "Good WLB"

    StarStarStarStarStar
    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Comp & Benefits
    • Senior Management
    Current Employee - Software Engineer in Waltham, MA (US)
    Current Employee - Software Engineer in Waltham, MA (US)
    Recommends
    Negative Outlook
    No opinion of CEO

    I have been working at Amadeus full-time (More than 5 years)

    Pros

    Good work-life balance, good people

    Cons

    Not much career growth space

See All Reviews

Amadeus Waltham, MA (US) Photos

Amadeus photo of: National Intern Day
Amadeus photo of: Office Lobby

Amadeus Waltham, MA (US) Salaries

Salaries in $ (USD)
Average
Min
Max
$1,07,772 per year
$88k
$122k
$1,07,772 per year
$88k
$122k
$1,20,639 per year
$110k
$136k
$1,20,639 per year
$110k
$136k
$95,486 per year
$79k
$99k
$95,486 per year
$79k
$99k

Amadeus Waltham, MA (US) Interviews

Experience

Experience
50%
33%
17%

Getting an Interview

Getting an Interview
67%
17%
8%
8

Difficulty

2.9
Average

Difficulty

Hard
Average
Easy
  1.  

    Machine Learning Engineer Interview

    Anonymous Interview Candidate in Waltham, MA (US)
    No Offer
    Neutral Experience
    Difficult Interview

    Application

    I applied online. I interviewed at Amadeus (Waltham, MA (US)) in October 2019.

    Interview

    I got a call from a recruiter. He asked me a few questions like tell me about your resume and what do I know about the company. Then he asked me to schedule a video interview. The video interview was just them stating the problem in the job description and how I would go about solving it. What features would I create from sample data and how would I structure my ML model to solve the problem.

    Interview Questions

    • What features can you come up with for this ML problem. How would you structure your solution   Answer Question
See All Interviews