Is it hard to get hired as a ML Research Engineer at Amazon Lab126?

ML Research Engineer applicants have rated the interview process at Amazon Lab126 with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 46.1% positive. This is according to Glassdoor user ratings.

Where can I find Amazon Lab126 interview experiences by job title?

Software Engineer (37) ; Software Development Engineer (30) ; Hardware Engineer (19) ; Software Development Engineer (SDE) (13) ; Product Design Engineer (12) ; Senior Software Engineer (11) ; Software Development Engineer (SDE) II (11) ; Software Development Engineer II (11) ; Engineer (10) ; Senior Manager (10) ; Program Manager (9) ; Software Development Manager (9) ; Software Development Engineer Intern (8) ; Technical Program Manager (8) ; Applied Scientist (7)

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Amazon Lab126 ML Research Engineer interview questions

based on 1 rating - Updated Dec 12, 2024

Average interview difficulty

Very positive interview experience

How others got an interview

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1 interviews

ML Research Engineer Interview

Dec 12, 2024

Anonymous Interview Candidate

Declined offer

Positive experience

Average interview

Application

I interviewed at Amazon Lab126

Interview

Overall process is very good, just a bit slow. Went through tech screen, then full virtual interviews, and offer. It took about 1.5 months. The questions are fair and domain specific. Interviewers are very nice and knowledgable. But they do like to ask about value questions, which I think it's kind of unnecessary for engineering positions.

Interview questions [1]

Question 1

Q: how to model and improve a ML accelerator

Answer question

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Amazon Lab126

Amazon Lab126 ML Research Engineer interview questions

Average interview difficulty

Very positive interview experience

How others got an interview

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ML Research Engineer Interview

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