Freddie Mac Machine Learning Engineer Interview Guide

Overview

Getting ready for an Machine Learning Engineer interview at Freddie Mac? The Freddie Mac Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

  • Know what skills are necessary for Freddie Mac Machine Learning Engineer roles.
  • Gain insights into the Machine Learning Engineer interview process at Freddie Mac.
  • Practice real Freddie Mac Machine Learning Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Freddie Mac Machine Learning Engineer interview.

Freddie Mac Machine Learning Engineer Salary

$118,613

Average Base Salary

$128,113

Average Total Compensation

Min: $83K
Max: $150K
Base Salary
Median: $128K
Mean (Average): $119K
Data points: 16
Min: $83K
Max: $190K
Total Compensation
Median: $128K
Mean (Average): $128K
Data points: 16

View the full ML Engineer at Freddie Mac salary guide

Freddie Mac Machine Learning Engineer Interview Process

Typically, interviews at Freddie Mac vary by role and team, but commonly Machine Learning Engineer interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Freddie Mac Machine Learning Engineer Interview Questions

Practice for the Freddie Mac Machine Learning Engineer interview with these recently asked interview questions.

QuestionTopicDifficultyAsk Chance
Python & General Programming
Easy
Very High
Machine Learning
Hard
Very High
Machine Learning
Medium
High
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View all Freddie Mac ML Engineer questions

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