Deep Learning Engineer Tests

Roles

Deep Learning Engineer

Tests

Overview

Tests

Start Using These Tests to Assess Your Deep Learning Engineers

Intern Deep Learning Engineer Screening Assessment

A screening assessment designed to evaluate the hard skills of potential Intern Deep Learning Engineers.

Python

Deep Learning

Data Management

TensorFlow

Algorithms

Analytical Reasoning

45 mins

20 Questions

Standard

Intern Deep Learning Engineer In-depth Assessment

A comprehensive in-depth assessment designed to evaluate the technical skills, problem-solving abilities, and collaboration skills of potential Intern Deep Learning Engineers.

Python

Deep Learning

Data Management

TensorFlow

Algorithms

Analytical Reasoning

Problem Solving

Collaboration

2 hours, 30 mins

50 Questions

Standard

Graduate Deep Learning Engineer Screening Assessment

A screening assessment to evaluate the hard skills of potential Graduate Deep Learning Engineer hires.

Deep Learning

Machine Learning

Neural Networks

Python

Java

Algorithms

Data Management

Statistics

Analytical Reasoning

Inductive Reasoning

Problem Solving

Critical Thinking

Hypothesis Testing

45 mins

30 Questions

Standard

Graduate Deep Learning Engineer In-depth Assessment

A comprehensive in-depth assessment to evaluate the skills and capabilities of potential Graduate Deep Learning Engineers.

Deep Learning

Machine Learning

Neural Networks

Python

Java

Algorithms

Data Management

Statistics

Analytical Reasoning

Inductive Reasoning

Problem Solving

Critical Thinking

Hypothesis Testing

Technical Writing

Collaboration

2 hours, 30 mins

50 Questions

Standard

Junior Deep Learning Engineer Screening Assessment

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

Deep Learning

Machine Learning

Python

Java

CPP

Functional Programming

TensorFlow

Algorithms

45 mins

20 Questions

Standard

Junior Deep Learning Engineer In-depth Assessment

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

Deep Learning

Machine Learning

Python

Java

CPP

Functional Programming

TensorFlow

Algorithms

Problem Solving

Collaboration

2 hours, 30 mins

45 Questions

Standard

Deep Learning Engineer (Mid-Level) Screening Assessment

A screening assessment to evaluate the technical skills of potential Mid-Level Deep Learning Engineers.

Deep Learning

Machine Learning

Neural Networks

Algorithms

Python

Functional Programming

Object-Oriented Programming

Problem Solving

Critical Thinking

Data Management

SQL

NoSQL

TensorFlow

45 mins

20 Questions

Advanced

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

An in-depth assessment to evaluate the technical skills, problem-solving abilities, and soft skills of mid-level Deep Learning Engineer candidates.

Deep Learning

Machine Learning

Neural Networks

Algorithms

Python

Functional Programming

Object-Oriented Programming

Problem Solving

Critical Thinking

Data Management

SQL

NoSQL

TensorFlow

2 hours, 15 mins

40 Questions

Advanced

Senior Deep Learning Engineer Screening Assessment

A screening assessment designed to evaluate the technical skills of potential Senior Deep Learning Engineer hires.

Deep Learning

Machine Learning

Python

Data Analysis

Neural Networks

Algorithms

Problem Solving

45 mins

20 Questions

Advanced

Senior Deep Learning Engineer In-depth Assessment

A comprehensive assessment designed to evaluate the skills and knowledge of candidates for the role of Senior Deep Learning Engineer.

Deep Learning

Machine Learning

Python

Data Analysis

Neural Networks

Algorithms

Problem Solving

Technical Writing

Collaboration

Leadership

TensorFlow

2 hours, 30 mins

45 Questions

Expert

Lead Deep Learning Engineer Screening Assessment

A screening assessment designed to assess the technical skills of potential Lead Deep Learning Engineer hires.

Deep Learning

Machine Learning

Algorithms

Python

Java

Scala

Data Management

Neural Networks

CPP

45 mins

30 Questions

Advanced

Lead Deep Learning Engineer In-depth Assessment

A comprehensive assessment to evaluate the skills and capabilities of candidates for the role of Lead Deep Learning Engineer.

Deep Learning

Machine Learning

Algorithms

Python

Java

Scala

Data Management

Neural Networks

Leadership

Problem Solving

Technical Writing

Data Security

Data Ethics

Data Privacy

CPP

2 hours, 30 mins

50 Questions

Expert

Over 50,000 Candidates Can't Be Wrong

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

The assessment exam was interesting enough to test my sales and marketing knowledge.

Vera

Business development rep for Australian startup

Frankly, I loved the entire experience, I learned my shortcoming, giving a test like this after a while. An we know, practise and practise will make the you perfect!!

Rakesh

Senior marketing manager for travel company

I enjoyed taking this assessment, it was refreshing to undergo these kind of test to be able to navigate to the skills and knowledge to do the job.

Aldrin

Senior growth analyst candidate at global travel 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 Deep Learning Engineers with Alooba