SMART TEST

Machine Learning Engineer (PyTorch)

This template is developed to screen candidates for Machine Learning Engineer position with PyTorch expertise.

PyTorch

Machine Learning

General Database

Fundamentals of Data Science

General coding

Communication

Personality

min

skills

Standard

difficulty

Smart test

Every test has unique questions pulled from our library

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About the Machine Learning Engineer (PyTorch) skills assessment

Get started with an auto-generated screening assessment that covers necessary technical skills and soft skills for the job. Invite candidates to take the assessment, then instantly identify top talent and whizz them through the recruitment stages in Toggl Hire. Screening test questions will help you assess applicants' skills like:

knowledge of databases and their structure
familiarity with SQL and data processing functions
understanding of data science
understanding of machine learning algorithms
general coding knowledge
experience working with PyTorch machine learning framework
communication skills

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Real-world experts behind our assessments

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Our unique test creation process

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We crowdsource test questions from multiple experts rather than relying on a single individual. This helps to minimize unconscious biases and promotes diverse thought.

Dotting all the i’s &
crossing all the t’s

Our expert community is carefully curated, covering all levels, backgrounds and specialisations. Tapping into complementary expertise ensures our tests are thorough and well-rounded.

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and balances

We’re big on practical questions and useful knowledge. Senior reviewers and question performance data help us weed out bookish questions and guarantee test quality.

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With a minimum pass score, you can cut down your screening time by 86%. Decide what a successful test result is and let us do the heavy screening for you. We’ll shuffle top performers to the top of your list.

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Our skills assessment engine combines anti-cheating measures with dynamic testing. No test taker gets the same questions, and if they try something fishy, we flag the results for you.

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