Front End Developer Needed for Fairlearn GitHub Website

Project Details:

The Fairlearn team is looking for a front end developer to build the project’s new open source website. This website code will be open source and become a part of the SharLearn Git repo.

Our current website

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This end-to-end web solution will be hosted on GitHub and built using a variety of web technologies (Bootstrap, Python, JavaScript, HTML, CSS).

NOTE: we already have wire frame designs in Figma that will be provided


- Deliver: build, test, validate and release a responsive website experience hosted on GitHub

-- the site should be easily updated by our team

- Collaborate: work closely with research, design, data science, and the open source community

- Own: complete lifecycle of the website development with a focus on quality, efficiency and final-mile polish

- Development: produce a robust, clear and scalable technical solutions for user scenarios; high

quality code built on best engineering and open source community practices to ensure long-term maintainability, reusability and success

-- Code should be clearly documented and easy for someone else to update and maintain

-- The code will be in the SharLearn Git repository

- Technical expertise and track record in web engineering and high-quality deliverables


- The website needs to be launched by June 20

Required Qualifications:

- 4+ years of experience building front-end web applications with components, global design systems, and responsive frameworks for desktop-to-mobile web browsers

- 2+ years of experience implementing accessibility standards for web as part of the component framework

- 2+ years of experience with the following web technologies: Sphinx, Python, Java script, CSS

Preferred Qualifications:

- Strong design integration skills with exceptional attention to detail. Motion design integration skills a plus.

- Strong collaboration skills with cross-team problem solving abilities and willingness to experiment to achieve the teams’ vision


- The content showcases sociotechnical aspects of Fairlearn so we want to be as visually engaging as possible with a certain amount of “delight”

- All aspects of the code and design need to be created and delivered with best practices in mind for the ease of maintenance, reconfiguration and reuse by the open source community


The Fairlearn team at Microsoft Research New York City is hiring a frontend web developer contractor!

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Fairlearn is an open-source Python toolkit for assessing and improving the fairness of AI systems.

Fairlearn aspires to consist of: (1) a Python library of fairness metrics and unfairness mitigation

algorithms, (2) tools for visual fairness assessment, including plots and dashboards, (3) education materials, including a comprehensive user guide, Jupyter notebooks, and detailed case studies.

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The lab seeks to facilitate the development of computational techniques that are both innovative and responsible, while drawing on and learning from sociology, history, and science and technology studies. The Fairlearn project consists of software tools and education materials that enable practitioners to assess and improve the fairness of their AI systems.

We aim to help users make context-dependent trade-offs between fairness metrics, many of which cannot be simultaneously satisfied. We also aim to educate users about the sociotechnical nature of fairness in AI systems via case studies and examples. We emphasize that because fairness in AI systems is a sociotechnical challenge, software tools are not be-all and end-all solutions, are only appropriate in particular (limited) circumstances, and must be supplemented with additional processes and resources.

Skills: Python, Bootstrap, GitHub, JavaScript

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