Process
The technical rounds were intense, starting with a question about vectorizing One-Nearest-Neighbor as a neural forward pass.
Then, I had to design a large-scale streaming AI product feature, which was challenging.
The final question focused on creating an asynchronous text-to-video generation service.
Interestingly, I recognized the last prompt immediately—it was something I’d worked on during my prep on PracHub.
Despite feeling prepared, I found the process somewhat disorganized, leading me to ultimately decline their offer, even though the experience was valuable.
Questions
Vectorize One-Nearest-Neighbor and Express It as a Neural Forward Pass
Design a Large-Scale Streaming AI Product Feature
Design an Asynchronous Text-to-Video Generation Service
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Interview Statistics
The following metrics were computed from 4 interview experiences for the OpenAI Machine Learning Engineer role.
Success Rate
OpenAI's interview process for their Machine Learning Engineer roles is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having very negative feelings for OpenAI's Machine Learning Engineer interview process.
OpenAI Work Experiences
- 5.0Mixed experience with amazing moments but scary timesMachine Learning Engineer • Current EmployeeSan Francisco, CAAugust 19, 2026Pros: Amazing and very good at timesCons: Bad and somewhat scary at times
- 5.0Supportive Staff, Tough EntryMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesFebruary 5, 2025Pros: It has some of the most supportive staff.Cons: It is very competitive for people new to the field.
- 5.0Supportive Yet Demanding WorkMachine Learning Engineer • Current EmployeeUnion City, California, United StatesNovember 1, 2025Pros: Supportive environment from every person.Cons: Very tiring and a big workload.
OpenAI Interview Questions
