Machine Learning Engineer Tests

Roles

Machine Learning Engineer

Tests

Overview

Tests

Start Using These Tests to Assess Your Machine Learning Engineers

Intern Machine Learning Engineer Screening Assessment

An initial screening to test the technical skills of potential Intern Machine Learning Engineer hires.

Python

Java

Machine Learning

Deep Learning

Data Management

TensorFlow

45 mins

20 Questions

Standard

Intern Machine Learning Engineer In-depth Assessment

An in-depth assessment designed to evaluate the technical and soft skills of potential Intern Machine Learning Engineers.

Python

Java

Machine Learning

Deep Learning

Data Management

TensorFlow

Problem Solving

Critical Thinking

Analytical Reasoning

Collaboration

2 hours, 30 mins

40 Questions

Standard

Graduate Machine Learning Engineer Screening Assessment

A screening assessment to evaluate the technical skills of potential Graduate Machine Learning Engineer hires.

Machine Learning

Python

Java

Object-Oriented Programming

Data Management

Analytical Reasoning

Inductive Reasoning

Statistical Analysis

Hypothesis Testing

45 mins

20 Questions

Standard

Graduate Machine Learning Engineer In-depth Assessment

A comprehensive assessment to evaluate the skills and abilities of potential Graduate Machine Learning Engineer hires.

Machine Learning

Python

Java

Object-Oriented Programming

Data Management

Analytical Reasoning

Inductive Reasoning

Collaboration

Problem Solving

Statistical Analysis

Hypothesis Testing

Data Literacy

2 hours, 30 mins

40 Questions

Standard

Junior Machine Learning Engineer Screening Assessment

A screening assessment designed to evaluate the hard skills of potential Junior Machine Learning Engineer hires.

Machine Learning

Analytics Programming

Python

R Language

Data Analysis

SQL

Statistical Analysis

Problem Solving

45 mins

20 Questions

Standard

Junior Machine Learning Engineer In-depth Assessment

An in-depth assessment to evaluate the technical skills, problem-solving abilities, and analytical reasoning of Junior Machine Learning Engineer candidates.

Machine Learning

Analytics Programming

Python

R Language

Data Analysis

SQL

Statistical Analysis

Problem Solving

Analytical Reasoning

Hypothesis Testing

Inductive Reasoning

Collaboration

2 hours, 15 mins

40 Questions

Standard

Machine Learning Engineer (Mid-Level) Screening Assessment

An initial screening to assess the technical skills of potential Mid-Level Machine Learning Engineer hires.

Machine Learning

Python

Java

Scala

SQL

Data Management

NoSQL

DevOps

Cloud Computing

Amazon Web Services

GCP

Hadoop

Apache Spark

Big Data

Analytical Reasoning

Problem Solving

45 mins

30 Questions

Advanced

Machine Learning Engineer (Mid-Level) In-depth Assessment

An in-depth assessment to evaluate the technical and soft skills of mid-level Machine Learning Engineer candidates.

Machine Learning

Python

Java

Scala

SQL

Data Management

NoSQL

DevOps

Cloud Computing

Amazon Web Services

GCP

Hadoop

Apache Spark

Big Data

Analytical Reasoning

Problem Solving

Written Communication

Verbal Communication

Collaboration

2 hours, 15 mins

45 Questions

Advanced

Senior Machine Learning Engineer Screening Assessment

An initial screening to assess the technical skills of potential Senior Machine Learning Engineer hires.

Machine Learning

Deep Learning

Natural Language Processing

Algorithms

Python

Java

Scala

Apache Spark

Hadoop

Data Analysis

Data Modeling

Statistics

Big Data

45 mins

30 Questions

Advanced

Senior Machine Learning Engineer In-depth Assessment

A comprehensive assessment to evaluate the technical and soft skills of potential Senior Machine Learning Engineer hires.

Machine Learning

Deep Learning

Natural Language Processing

Algorithms

Python

Java

Scala

Apache Spark

Hadoop

Data Analysis

Data Modeling

Statistics

Big Data

Problem Solving

Leadership

Collaboration

2 hours, 30 mins

45 Questions

Expert

Lead Machine Learning Engineer Screening Assessment

A screening assessment to evaluate the technical skills of potential Lead Machine Learning Engineer hires.

Machine Learning

Data Analysis

Python

Java

Scala

Statistical Analysis

Hadoop

Apache Spark

TensorFlow

45 mins

20 Questions

Advanced

Lead Machine Learning Engineer In-depth Assessment

A comprehensive assessment to evaluate the skills and capabilities of potential Lead Machine Learning Engineers.

Machine Learning

Data Analysis

Python

Java

Scala

Statistical Analysis

Hadoop

Apache Spark

TensorFlow

Amazon Web Services

GCP

DevOps

Leadership

Written Communication

Problem Solving

Collaboration

2 hours, 30 mins

45 Questions

Expert

Over 50,000 Candidates Can't Be Wrong

Overall, I found the test platform to be very user-friendly and well-designed. It provided a smooth and efficient experience throughout the assessment.

Rahul

Marketing candidate at global travel enterprise

Very great initiative taken my alooba, It's complete fair for all candidate to test their skill and it's help us to improve our performance. I'm excited to see the results.

Sheetal

Data analyst candidate for travel company

That was definitely my first time ever being interviewed for skill assessment with the Alooba platform. Great experience and the value bestowed through such means is utterly respected on my behalf! I believe such online assessments should become more and more ubiquitous.

Yoav

Senior strategy manager candidate at global travel giant

This was a very eye-opening assessment. I loved using alooba and the way the assessment was formatted. It was also great to see how some of the knowledge I gained from university can be applied to real-life scenarios and business problems.

Carrie

Senior product analytics candidate for leading Australian tech company

Our Customers Say

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

Start Assessing Machine Learning Engineers with Alooba