Process
The interview process included:
- Recruiter phone call
- Technical Assessment
I never reached step two, as the position was filled before I could schedule anything.
I was asked to attend a few workshops to prepare for the assessment and interviews. Before I could attend them, I received a message stating that all positions were filled. I was then offered other unrelated opportunities.
Questions
I never made it; the position got filled.
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Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
- 5.0Brilliant Team, Frequent ReorgsMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMarch 15, 2024Pros: Really brilliant coworkers doing amazing things. Some managers really know their tech, so it's very easy to get guidance.Cons: Too much reorg. People are still on the previous project and get reorged into other teams.
- 4.0A great team helps me improve my skills and deliver resultsMachine Learning Engineer • Current EmployeeOctober 3, 2022Pros: My manager and peers help me a lot, and I finally deliver much more than I expected.Cons: Only interns with very good performance can have return offers, which is not good.
- 2.0Very stressful environment and tons of pressureMachine Learning Engineer • Current EmployeeLondon, England, United KingdomSeptember 3, 2025Pros: Good compensation and benefits. Lots of automated systems.Cons: Tedious tasks. Competitive and stressful environment. Seniors are not doing any work. Bad work-life balance.
Meta Interview Questions
