Software Engineer - Machine Learning Interview Experience - Menlo Park, California
November 1, 2023
Positive ExperienceGot Offer
Process
Recruiter reached out.
Phone technical interview completed.
Onsite interview included:
- Two coding sessions
- One ML system design session
- One behavioral session
Follow-up system design interview also conducted.
This process has already taken over three months, and I am still awaiting the results.
Questions
Design a recommendation system like TikTok.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Meta Software Engineer - Machine Learning role in Menlo Park, California.
Success Rate
33%
Pass Rate
Meta's interview process for their Software Engineer - Machine Learning roles in Menlo Park, California is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive33%
Neutral33%
Negative33%
Candidates reported having mixed feelings for Meta's Software Engineer - Machine Learning interview process in Menlo Park, California.
Meta Work Experiences
1.0
Limited Growth, Poor Environment
Software Engineer - Machine Learning • Current Employee
Menlo Park, California, United States
December 23, 2024
Pros: Lots of GPU
In-house LLM for any use
Cons: Some orgs like to adopt a zero-sum working atmosphere and like to compare people.
It is hard to have technical advancement given everyone is chasing lower-hanging fruit.
Low hourly pay.
5.0
Good pay and benefits. Nothing else
Software Engineer - Machine Learning • Current Employee
Menlo Park, California, United States
April 24, 2023
Pros: Good pay and benefits package. Love the food.
Cons: Bad work-life balance, and it can be hard to ramp up to the culture.
3.0
PSC is stressful
Software Engineer - Machine Learning • Current Employee
San Francisco, California, United States
April 29, 2025
Pros: Top of market pay, and it seems like people who work here do care about the money.
Cons: As an MLE, delivery impact each half is stressful and unrealistic. PERM's high failure rate is hard for H1B holders.
- 1.0Limited Growth, Poor EnvironmentSoftware Engineer - Machine Learning • Current EmployeeMenlo Park, California, United StatesDecember 23, 2024Pros: Lots of GPU In-house LLM for any useCons: Some orgs like to adopt a zero-sum working atmosphere and like to compare people. It is hard to have technical advancement given everyone is chasing lower-hanging fruit. Low hourly pay.
- 5.0Good pay and benefits. Nothing elseSoftware Engineer - Machine Learning • Current EmployeeMenlo Park, California, United StatesApril 24, 2023Pros: Good pay and benefits package. Love the food.Cons: Bad work-life balance, and it can be hard to ramp up to the culture.
- 3.0PSC is stressfulSoftware Engineer - Machine Learning • Current EmployeeSan Francisco, California, United StatesApril 29, 2025Pros: Top of market pay, and it seems like people who work here do care about the money.Cons: As an MLE, delivery impact each half is stressful and unrealistic. PERM's high failure rate is hard for H1B holders.
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