The interview process:
The problems were mostly LeetCode Hard, and the interviewers refused to answer questions about the role, the job at large, give clarity on the tech stack, or provide any time for a meaningful discussion.
Please understand they will do everything to stiff you. The recruiter somehow gets in touch AFTER finishing interviews, they refuse to negotiate, and if you’re their preferred candidate, know that it’s because they think you’re their cheapest option. There's also zero disclosure of benefits, flexibility around WFH if needed, and no respect for candidates. They won’t even confirm the bonus in writing in an offer.
GS will deal in bad faith at every step of the process. As a further example, they opened the same role in a non-NYC location under the same team after refusing to offer that multiple times at the offer stage.
Don’t apply, even if you’re 100% desperate.
Look for LC-Hard Goldman Sachs tagged questions.
The following metrics were computed from 2 interview experiences for the Goldman Sachs Machine Learning Engineer role in New York, New York.
Goldman Sachs's interview process for their Machine Learning Engineer roles in New York, New York is extremely selective, failing the vast majority of engineers.
Candidates reported having very negative feelings for Goldman Sachs's Machine Learning Engineer interview process in New York, New York.