Clipcode Eval Academy is our technical interview service. If your company is recruiting knowledge professionals, we can provide a seasoned technical interviewer who will evaluate candidates during a detailed technical interview, based on a set of expected competencies that you require (e.g. as described in the job spec). Do the candidates know what they need to know in order to perform the assigned tasks? Accurately answering that question as soon as possible in the recruitment process is of major benefit, both to the recruiting company and to the candidate (it saves time and expense for both by ensuring a proper fit for the offered role).
Before the interview your company will need to supply us with a detailed job specification and the candidate's CV. The telephone interview with the candidate will last one hour and can be scheduled any time that suits the candidate - (e.g. normal working hours, evening, weekend). Afterwards, we will supply a detailed written report of the interview to your company.
Our interviews may involve: a) Open question eval; b) multi-choice eval; c) architectural sketch eval (sketch the outline of a solution to a problem scenario) and d) coding challenge eval (finish a partially-written programming assignment). As a demostration, below are some of our samples in various areas:
It is extremely benefical to be able to verify what is stated in a mathematical / programming setting is provably correct. The close cousins of proof theory, type theory and category theory (particularily closed cartesian) – offer a modern foundation for all of mathematics. In the 2020s we predict modern mathematics will play a growing role in the evolution of all kinds of knowledge engineering, including software development.
Though programming was original firmly based on mathematics (indeed a 'computer' was originally a human who was highly skilled in mathematics and algorithms were invented over a thousand years ago by a Persian mathematician), it can he said over the years programming and mathematics have somewhat drifted apart (e.g. for many years the mathematically rich functional programming paradigm did not have a major influence on mainstream programming languages). More recently we see programming / software development becoming more firmly re-established on a mathematical foundation: e.g. lambdas now appear in many languages; and when you examine the internals of popular AI frameworks you will find mathematics such as a linear algebra implementation playing a starring role (e.g. at the heart of TensorFlow2 is the Eigen3 Linear Algebra library [homepage]).Contact Info:
info@clipcode.com
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