About the role:

Development of a UI application testing framework aimed at automating user interface tests while ensuring compliance with regulatory constraints in the diagnostics domain. The role involves selecting and implementing a suitable testing framework, integrating it into the CI/CD pipeline with the development team, and generating test evidence to support the software verification phase. This 6-month internship is based in Paris.

In particular, you will:

• Obtain a proof of concept (POC using Playwright) from the development team to gain a thorough understanding of the product.

• Identify and document all requirements to ensure compliance with our needs (CI/CD, regulatory, etc.).

• Develop an automated test framework to guarantee:

  • Feature coverage

  • Specification coverage

  • Code coverage

• Ensure the framework can be effectively used during:

  • CI / CD processes

  • The verification phase

About you

Required qualifications / experience:

• You are enrolled in a master degree in mathematics, statistics, biomedical engineering, computer science or related field

• Authorization to work legally in France

• Fluent in English (spoken and written)

• Proficient in Python and in relevant librairies (Numpy, Pandas, PyTorch, TensorFlow)

• Strong understanding of deep learning concepts and algorithms

• Previous experience in applying deep learning algorithms to real-word data

• Interest in medical imaging applications

• Strong communication skills

• Good team player

Optional Qualifications/Experience:

• Prior knowledge of generative adversarial networks and self-supervised learning.

• Experience training deep-learning models in a distributed environment.

• Familiarity with the SLURM container orchestration tool.

Recruitment Process & Security

• Please attach a CV in English.

• Waiv is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.

• Waiv is a great place to work. Unfortunately, being a coveted workplace means we are vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Waiv, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Waiv but is not consistent with the below, please do not provide any personal or financial information:

• Legitimate Waiv recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. However, further communication is always through an official Waiv email address (from the @wearewaiv.com domain), over the phone or though Recruitment platforms (Welcome To The Jungle);

• Legitimate Waiv recruiters will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;

• Legitimate Waiv interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (such as Google Meets). They will never occur via Signal, Telegram or Messenger;

• Legitimate Waiv offers of employment are based on merit and only extended once a candidate has interviewed with members of the hiring team. Offers will be extended both verbally and in written format. Waiv may request some personal information to initiate the hiring process, but this will be through protected means.

If you think that you have been a victim of fraud,

• Check the identity of recruiters on LinkedIn

• Check the existence of the position on our website

• Notify Waiv recruitment unit

• contact the following authorities:

  • [FR]https://www.internet-signalement.gouv.fr/

  • [UK]https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime

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