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 - Team Lead who can lead the work on the productization, deployment, and maintenance of ML algorithms (e.g. computer vision, NLP, recommendation systems) to join our expanding Machine Learning function.
Key Responsibilities
Manage a team of Machine Learning Engineers responsible for the productization of prototypes developed by data scientists.
Oversee technical decisions of machine learning methods, technologies and engineering best practices.
Collaborate with data scientists, product managers, 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
Previous experience working in a similar role
Ability to implement Agile Frameworks (Scrum, Kanban)
Strong proficiency in Python (and relevant ML-related libraries as PyTorch, JAX, TensorFlow) with experience writing production-grade code and maintaining production-grade web services
Experience with machine learning model development and deployment
Experience with MLOps frameworks and building machine learning pipelines
Experience with containerization technology (Docker/Kubernetes)
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
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.