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About the role
Job Description
Algorithm Developer Internship
Remote Working Duration: 2-3 Months (All Year Round) Salary: Competitive
MeVitae uses cognitive computing to tackle the biggest global recruitment challenges., MeVitae’s scaling data-driven solution plays a growing role in providing employers real-time awareness into hiring decisions.
About MeVitae
Founded by two award-winning Oxonians, MeVitae leverages deep technology and data-driven approaches to solve the biggest human capital challenges, from workplace diversity to people analytics. MeVitae is supported by the likes of the European Space Agency BIC, Innovate UK, with board members including Microsoft director and Shazam Co-Founder.
About Position
MeVitae is looking for an exceptional go-getter to join the strong team in a vibrant Start-up atmosphere to take the company worldwide. This is position is crucial and it is a chance to hone your expertise alongside fellow talented professionals, where you'll develop some of the most exciting Big Data software solutions on the market.
MeVitae is seeking a full-time Algorithm Developer to join our development team, whom will help drive changes through MeVitae by creating insights from data and build AI techniques. The ideal candidate is someone who is particularly interested in using AI to understand language, and enjoys designing new ideas and exploring new applications and modifications of existing algorithms. The role will involve the development of software using test driven methodologies and following software development best practices, and so experience with this is beneficial.
We are looking for scientists who are passionate about technology and want to apply technical techniques to solve real-world open-ended problems that haven’t been approached before. You will help develop capabilities for language modelling, predictive modelling, text mining, dimensionality reduction, numerical optimisation, applied mathematical methods and other advanced statistical techniques. You will work on all aspects of the design, development and delivery of enabled solutions including problem definition, data acquisition, data exploration and visualisation, evaluating and comparing metrics, deploying the models, iteratively improving the solution, building the tools for this process etc. You will work with data from diverse structured and unstructured data sources, and various formats including tabular, text and time series.
Duties and Responsibilities
C# and/or .Net coding, testing, deployment of proprietary web applications
Identify and understand data sources within the MeVitae business, including structured, unstructured and Big Data
Design and test algorithms for the automated scoring/shortlisting system
Guide stakeholders across the group to implement new algorithms and methods based on your work by presenting findings in a clear and confident manner
Write clean code for use by engineers and other analysts in the organisation
Recommend and use a variety of tools to deliver analytics based on the data
Requirements
Interest or experience in information retrieval, natural language processing, machine learning or data mining
Software development skills in one or more high level languages C#/C/C++/Java or Python/Perl/Shell/R
Some SQL database experience would be beneficial
Advanced conceptual, analytical, and problem-solving abilities; especially applied to open ended problems
To apply, please send your CV and cover letter
Company Description
MeVitae uses cognitive computing to tackle the biggest global recruitment challenges., MeVitae’s scaling data-driven solution plays a growing role in providing employers real-time awareness into hiring decisions.
About MeVitae
Founded by two award-winning Oxonians, MeVitae leverages deep technology and data-driven approaches to solve the biggest human capital challenges, from workplace diversity to people analytics. MeVitae is supported by the likes of the European Space Agency BIC, Innovate UK, with board members including Microsoft director and Shazam Co-Founder.
Listed by MeVitae on SmartRecruiters. Apply on the employer's site. Original listing.
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