Machine Learning Engineer

We are on a mission to make science open so everyone can live healthy lives on a healthy planet

Who we are

Frontiers is an award-winning open science platform and leading open access scholarly publisher.

We are one of the largest and most cited publishers globally. To date, our 200,000 freely available research articles have received more than 1 billion views and downloads and 2 million citations. Our journals span science, health, humanities and social sciences, engineering, and sustainability. And we continue to expand into new academic disciplines so more researchers can publish open access.

Be part of the publishing revolution and help us transform the way research is published, evaluated, and communicated to the world.
- Job Role
- We are looking for a Machine Learning Engineer who can work on the productization, deployment, and maintenance of machine learning algorithms to join our Machine Learning Engineering team.
- We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
- To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms (covering areas such as computer vision, NLP, recommendations systems).
- Key Responsibilities- Work in a team of machine learning engineers responsible for the productization of models developed by data scientists.-
- Collaborate with data scientists, software engineers and data engineers to design scalable state-of-the-art infrastructure to serve machine learning models in production.-
- Research and adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines.-
- Identify opportunities for machine learning process automation.-
- Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).- Requirements- Degree in Computer Science or similar-
- Solid understanding of software development best practices-
- Experience in Python (as well as machine learning related libraries)-
- Experience with REST API design in Python (e.g. Flask, FastAPI, Celery)-
- Experience with machine learning model development and deployment-
- Experience with a Cloud Platform (e.g. Azure, AWS, GCP)-
- Solid understanding of supervised and unsupervised machine learning algorithms-
- Experience with containerization technology (Docker/Kubernetes)-
- Great communication, teamwork, problem-solving, and organizational skills.**Benefits**:
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.

Wellbeing

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.
- Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination - including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With over 600 employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives._