QA Engineer - Machine Learning

Frontiers + Seguir empresa
100% En remoto 24/05/2022

Descripción de la oferta de empleo

We are looking for an enthusiastic QA Engineer to join our Machine Learning Engineering team and help them to create and deliver solutions to improve the quality of our Machine Learning models and services. The ideal candidate for this role should have a solid QA engineer background, strong experience testing APIs, and substantial coding skills for designing and implementing automated tests.

By working at Frontiers, you will play a key role in shaping the future of science and academic publishing. You will join a thriving company where your contribution will have an immediate effect on the way science is evolving.

Key Responsibilities

- Work with our Machine Learning engineers to ensure that the services’ implementation addresses functional and non-functional requirements, and meets high-quality standards.
- Closely collaborate with our Machine Learning Team Lead in designing solutions and defining acceptance criteria to guarantee scalable integration with our core products.
- Design and automate test cases to validate our Machine Learning services using a variety of data sets.
- Test APIs and backend services.
- Report and document technical issues, and follow them up through the complete bug life cycle.
- Ability to work with large data sets presented in different formats and to troubleshoot possible data-related issues.
- Define metrics to track the quality of our data, models, and APIs.
- Communicate with stakeholders to ensure streamlined service integration and release.
- Conduct post-release testing.

Required Qualifications

- Solid experience as a QA Engineer in the Agile environment.
- Bachelor’s degree in Computer Science or equivalent combination of technical education and work experience.
- Strong experience with API testing.
- Coding skills (Python preferred).
- Experience with writing automation tests.
- Experience in integrating tests in CI/CD pipelines.
- Interest in Machine Learning techniques, data structures, algorithms, statistics.
- Demonstrated experience in test planning, test design, test strategy, and test execution.
- Strong analytical skills to identify the root cause and cause/effect relations.
- Methodical, curious, a self-starter, and passionate about quality.
- Outstanding interpersonal and communication skills.
- Good English skills, we are an international company and English is our working language.

Preferred Qualifications

- Python coding skills.
- Experience working in an Agile environment.
- Experience with SQL/NoSQL databases.
- Experience with Azure DevOps pipelines.
- Experience with Docker.

Experience with supervised and unsupervised Machine Learning algorithms.

With more than 50 nationalities represented in our global team, you will work regularly with teammates in other countries, and with our community of researchers, editors, and authors from around the globe.

Our mission to create solutions for healthy lives also extends to the working environment we provide for our employees.

This includes:

100% remote working

Employees now have the flexibility to choose where they want to work, with remote working available on a part- or full-time basis.

Learning and development

All employees have access to LinkedIn Learning (and Pluralsight for our technology team), an annual personal learning budget, and dedicated L&D time.


We offer free online yoga classes, an employee assistance plan, access to the Headspace app, and four wellbeing days on top of your annual leave allowance.

Volunteering opportunities

Employees can dedicate three days each year to volunteer for a personal cause or through our volunteering partner platform, Alaya.

Otros detalles de la oferta

Formación Mínima: Grado Medio

Nivel Profesional: Empleado

CVs inscritos en el proceso: 12

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Datos principales de la oferta
  • 100% En remoto
  • Tester
  • Jornada completa
  • 1 año
  • Indefinido
    Tipo contrato
  • python agile SQL NoSQL

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