Machine Learning Engineer
Stockholm / Copenhagen
About the Role
We are seeking an extraordinary Machine Learning Engineer to join our tech team. In this role you will be instrumental in developing cutting-edge machine learning models to push the forefront of digital biology. Your work will involve close collaboration with interdisciplinary teams, combining insights from biochemistry and software development to create real-world impact.
You will have the opportunity to work on multimodal models, language models, graph neural networks, and other emerging modalities, all in the context of our own biological data. Your role will be pivotal in advancing our ML capabilities, ensuring that our solutions are not only technically sound but also aligned with our strategic goals. As a key member of our team, your expertise will be crucial in navigating the fast-paced and interdisciplinary nature of our work.
Develop and enhance state of the art machine learning models, such as, protein language models and geometric ML models
Collaborate with interdisciplinary teams, including founders, biochemists, molecular biologists, data scientists, and fellow software developers.
Drive cutting-edge innovation and ensure best practices in ML development and implementation.
Advanced degree (PhD or equivalent experience) in Engineering, Natural Sciences, or a related field.
Proven experience in machine learning, particularly with language models and/or graph neural networks.
Strong programming skills, preferably in Python.
Experience with biological data is ideal, but not required.
Effective communication skills, able to work collaboratively with both technical and scientific teams.
Ability to own your work and drive outcomes in a fast-paced, interdisciplinary environment.
Total compensation includes generous equity and benefits.
30 vacation days and 13 public holidays per year.
Large office and private lab on the Karolinska Institute campus in Stockholm.
Our mission is to build foundational technologies to advance human health.
We believe rebels dare to question the status quo. Rebels solve the impossible. Rebels build the breakthroughs that define our future. We are rebels.
You'll be joining a team who has worked on the frontier of machine learning and synthetic biology at Google X, Stanford, UCSF, KTH, Thermo Fisher, and Enveda Biosciences. Our team is focused on accelerating the science of human health and ultimately change the trajectory of humanity. Join us and build the future.
IONLACE is an equal opportunity employer and we actively seek to create a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of their background.
Please include your resume and/or LinkedIn profile, cover letter (max 1 page), and any links to public projects if applicable.