Software Engineer - Machine Learning Interview Experience
Process
One technical assessment and four onsite rounds, including:
- Two coding interviews
- One ML system design interview
- One behavioral interview
Coding interviews focused on stack, trees, and strings.
The ML system design interview focused on a recommendation problem.
The behavioral interview focused on past projects and discussed how I handled different challenges and complex situations (I used the STAR method to answer such questions).
Overall, it went well.
Questions
Trees, Stack, and String related questions were asked.
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Interview Statistics
The following metrics were computed from 12 interview experiences for the Meta Software Engineer - Machine Learning role in United States.
Success Rate
Meta's interview process for their Software Engineer - Machine Learning 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 Software Engineer - Machine Learning interview process in United States.
Meta Work Experiences
- 1.0Burnout Under Intense PressureSoftware Engineer - Machine Learning • Former EmployeeNew York, New York, United StatesNovember 17, 2022Pros: If you want to get burnt out by 40, this is the best place to be.Cons: Cutthroat, always under tremendous pressure to overachieve to not get fired.
- 4.0Great Place to Work, but StressfulSoftware Engineer - Machine Learning • Current EmployeeNew York, New York, United StatesSeptember 7, 2020Pros: Good pay, interesting work, good peopleCons: Bad work-life balance, competitive, and chaotic.
- 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.
Meta Interview Questions
