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Measure your Machine Learning Engineer candidates on job skills, personality and fit
Culture Add
This Culture Add test assesses how a candidate’s values and behaviors align with your organization values and the behaviors that would make your ideal hire successful in a specific role, based on a customized survey you fill out.
10 min
Algorithms for Software Engineering
The algorithms for software engineering test evaluates candidates’ knowledge of algorithmic approaches and their ability to solve situational tasks using them. This test helps you identify programmers who are proficient in applying algorithms.
10 min
SQLite (Coding): Intermediate-Level Querying
This SQLite coding test evaluates candidates’ skills in creating a query on a database with medium complexity. It immerses the candidate in a realistic scenario, and solving it requires intermediate SQLite querying skills.
30 min
Critical Thinking
This online Critical Thinking screening test evaluates candidates’ skills in critical thinking through inductive and deductive reasoning problems. This pre-employment skills test will help you identify candidates who can evaluate information and make sound judgments using analytical skills.
12 min
Matplotlib
This Matplotlib test evaluates candidates’ knowledge of Matplotlib and their ability to solve situational tasks using the Python library’s functionalities. The test will help you identify candidates who are proficient in Matplotlib.
10 min
Google Cloud Platform (GCP)
This Google Cloud Platform (GCP) test evaluates candidates’ skills in designing solutions and implementing best practices in GCP based on Google’s Architectural Framework. The test helps you identify candidates with strong experience in GCP management.
10 min
Artificial Intelligence
This Artificial Intelligence (AI) test evaluates candidates’ grasp of core AI concepts and their ability to solve situational AI tasks. This screening test will help you identify candidates capable of tackling a variety of business challenges using AI.
10 min
Machine Learning
This Machine Learning (ML) test assesses candidates’ technical knowledge of core machine learning concepts such as regularization, classification, and unsupervised learning. This machine learning test will help you to identify developers proficient in ML.
10 min
PyTorch
This test evaluates candidates’ knowledge of PyTorch and their ability to solve situational tasks using it. The test will help identify developers who are proficient in PyTorch and capable of implementing various deep learning models using the framework.
10 min
MATLAB
This MATLAB test evaluates candidates’ technical knowledge of the programming language and their ability to manipulate, analyze, and plot data. This test will help you hire programmers who are proficient with MATLAB and use it efficiently.
10 min
TensorFlow
This test evaluates candidates’ technical knowledge of TensorFlow. The test will help identify developers who are proficient in TensorFlow and are capable of implementing various deep-learning models with that framework.
10 min
Software Engineer
This Software Engineer test evaluates candidates’ knowledge of the basic principles and topics of software engineering. The test helps you identify candidates who can approach problems using “software engineer thinking” to find the best solution possible.
10 min
Motivation
Rooted in Oldham & Hackman’s Job Characteristics Model, this online Motivation test measures the extent to which your candidates’ expectations align with your job offer, based on a customized survey that you and the candidate both fill out.
15 min
Fundamentals of Electricity
This Fundamentals of Electricity test evaluates candidates’ knowledge of the basic principles and topics of electricity. The test helps you identify candidates who can approach electrical circuits and equipment to troubleshoot or perform maintenance.
10 min