Machine Learning Engineer Interview Experience - Atlanta, Georgia
March 1, 2022
Positive ExperienceNo Offer
Process
Screening - Coding
This is an initial assessment where you will be asked some MCQs related to ML and two coding questions.
Four rounds of interview were conducted on CoderPad:
- Two Data Structures rounds: String Manipulation & Graphs
- Two ML Case Study rounds: Spam content identification & flagging
Questions
Why Pinterest?
How would you identify spam content?
Was this helpful?
Interview Statistics
The following metrics were computed from 1 interview experience for the Pinterest Machine Learning Engineer role in Atlanta, Georgia.
Success Rate
0%
Pass Rate
Pinterest's interview process for their Machine Learning Engineer roles in Atlanta, Georgia is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Pinterest's Machine Learning Engineer interview process in Atlanta, Georgia.
Pinterest Work Experiences
5.0
Great place to work!
Machine Learning Engineer • Current Employee
New York, New York, United States
February 10, 2025
Pros: Great place to work, good WLB! Remote-friendly.
Cons: None. Pretty happy here overall.
4.0
Strong on work culture, inclusion, and work-life balance
Machine Learning Engineer • Current Employee
December 30, 2024
Pros: 1. Very collaborative, inclusive, and creativity-driven.
2. As machine learning engineers, you are encouraged to take ownership of projects and propose innovative solutions that have high impact towards product goals.
3. Flexibility of working remotely and flexible working hours.
4. Opportunities to work on large-scale, high-quality datasets and complex models and signals that impact the performance of models powering the recommender system.
Cons: Career growth might feel slower for senior engineers, as competition is pretty high.
5.0
On Point Practice, Needed Depth
Machine Learning Engineer • Former Employee
Texas City, Texas, United States
October 17, 2023
Pros: Good practice and was totally on point.
Cons: A deeper understanding was much required.
- 5.0Great place to work!Machine Learning Engineer • Current EmployeeNew York, New York, United StatesFebruary 10, 2025Pros: Great place to work, good WLB! Remote-friendly.Cons: None. Pretty happy here overall.
- 4.0Strong on work culture, inclusion, and work-life balanceMachine Learning Engineer • Current EmployeeDecember 30, 2024Pros: 1. Very collaborative, inclusive, and creativity-driven. 2. As machine learning engineers, you are encouraged to take ownership of projects and propose innovative solutions that have high impact towards product goals. 3. Flexibility of working remotely and flexible working hours. 4. Opportunities to work on large-scale, high-quality datasets and complex models and signals that impact the performance of models powering the recommender system.Cons: Career growth might feel slower for senior engineers, as competition is pretty high.
- 5.0On Point Practice, Needed DepthMachine Learning Engineer • Former EmployeeTexas City, Texas, United StatesOctober 17, 2023Pros: Good practice and was totally on point.Cons: A deeper understanding was much required.
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