SAP

Machine Learning Engineer Interview Experience - Serangoon, Singapore

April 6, 2017

Negative ExperienceNo Offer

Process

Interview was fairly easy. Some questions on basic machine learning concepts. Interviewers were not very proficient in the field and made a few mistakes on the algorithms. Interview was held in a made-shift room and was very unprofessional.

Questions

Explain logistic regression.

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Interview Statistics

The following metrics were computed from 1 interview experience for the SAP Machine Learning Engineer role in Serangoon, Singapore.

Success Rate

0%

Pass Rate

SAP's interview process for their Machine Learning Engineer roles in Serangoon, Singapore is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive0%

Neutral0%

Negative100%

Candidates reported having very negative feelings for SAP's Machine Learning Engineer interview process in Serangoon, Singapore.

SAP Work Experiences

Machine Learning Engineer at SAP

Machine Learning Engineer • Former Employee

Walldorf, Baden-Württemberg, Germany

Pros: The overall work culture is great, very international and diverse. The campus at Walldorf is very great. There are lots of training programs available for career growth. Because SAP is a big company, there is an opportunity to internally switch to a different team if one is not satisfied with the current work/team.

Cons: Salary is low as compared to other companies. There is a problem of bureaucracy and internal politics as well. Speaking from a machine learning perspective, work for a few teams might not be very interesting and may involve more software development than machine learning aspects.

Machine Learning Engineer at SAP

Machine Learning Engineer • Former Employee

Walldorf, Baden-Württemberg, Germany

Pros: The overall work culture is great, very international and diverse. The campus at Walldorf is very great. There are lots of training programs available for career growth. Because SAP is a big company, there is an opportunity to internally switch to a different team if one is not satisfied with the current work/team.

Cons: Salary is low as compared to other companies. There is a problem of bureaucracy and internal politics as well. Speaking from a machine learning perspective, work for a few teams might not be very interesting and may involve more software development than machine learning aspects.

Great Work Environment

Machine Learning Engineer • Former Employee

Seoul, South Korea

November 18, 2025

Pros: Good Work Environment and Coworkers

Cons: Not enough numbers of AI members.

Great Work Environment

Machine Learning Engineer • Former Employee

Seoul, South Korea

November 18, 2025

Pros: Good Work Environment and Coworkers

Cons: Not enough numbers of AI members.

Great Balance, Slow Processes

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: Work-life balance is great.

Cons: Can have long processes at work.

Great Balance, Slow Processes

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: Work-life balance is great.

Cons: Can have long processes at work.

Machine Learning Engineer at SAP

Machine Learning Engineer • Former Employee

Walldorf, Baden-Württemberg, Germany

Pros: The overall work culture is great, very international and diverse. The campus at Walldorf is very great. There are lots of training programs available for career growth. Because SAP is a big company, there is an opportunity to internally switch to a different team if one is not satisfied with the current work/team.

Cons: Salary is low as compared to other companies. There is a problem of bureaucracy and internal politics as well. Speaking from a machine learning perspective, work for a few teams might not be very interesting and may involve more software development than machine learning aspects.

5.0
Machine Learning Engineer at SAP
Machine Learning Engineer • Former Employee
Walldorf, Baden-Württemberg, Germany
August 2, 2021
Pros: The overall work culture is great, very international and diverse. The campus at Walldorf is very great. There are lots of training programs available for career growth. Because SAP is a big company, there is an opportunity to internally switch to a different team if one is not satisfied with the current work/team.
Cons: Salary is low as compared to other companies. There is a problem of bureaucracy and internal politics as well. Speaking from a machine learning perspective, work for a few teams might not be very interesting and may involve more software development than machine learning aspects.

Great Work Environment

Machine Learning Engineer • Former Employee

Seoul, South Korea

November 18, 2025

Pros: Good Work Environment and Coworkers

Cons: Not enough numbers of AI members.

4.0
Great Work Environment
Machine Learning Engineer • Former Employee
Seoul, South Korea
November 18, 2025
Pros: Good Work Environment and Coworkers
Cons: Not enough numbers of AI members.

Great Balance, Slow Processes

Machine Learning Engineer • Current Employee

Singapore, Singapore

Pros: Work-life balance is great.

Cons: Can have long processes at work.

5.0
Great Balance, Slow Processes
Machine Learning Engineer • Current Employee
Singapore, Singapore
August 7, 2023
Pros: Work-life balance is great.
Cons: Can have long processes at work.

SAP Interview Questions

Container With Most Water

You are given an array representing the heights of vertical lines. Find two lines that, together with the x-axis, form a container that holds the most water.

ArraysTwo PointersGreedy Algorithms

Two Sum

Find two numbers in a given array that add up to a specific target value, and return their indices. Essentially, you need to efficiently locate the pair that satisfies the sum requirement.

Count Increasing Quadruplets

Find the number of increasing quadruplets (i, j, k, l) in an array, where i < j < k < l and nums[i] < nums[k] < nums[j] < nums[l]. Count how many such quadruplets exist within the input array.

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