Machine Learning Researcher

About Scaleout

Scaleout's

mission is to enable its customers to develop machine learning solutions without compromising on data ownership and privacy.

Our main product is Scaleout Edge – a distributed AI platform designed to orchestrate machine learning across edge-to-cloud. Being built natively for federated learning, our software helps AI developers in mission-critical organizations tackle challenges like privacy, security, compliance, and data accessibility. By bringing machine learning to the data, we enable our customers to train, deploy and govern machine learning models as close to the edge as possible, be it on or near vehicles, drones, edge clouds, or industry robots. 

We are a deep tech, dual-use company serving customers in mission-critical organizations, including defence, automotive and industrial IoT. As a member of the Scaleout core developer team your work will have an impact by pushing the frontier of ML privacy, cybersecurity and embodied AI forward. 

Scaleout is supported by leading deep tech investors such as Navigare Ventures, Fairpoint Capital,  ALMI Invest, Uppsala University Invest and the Beijer Foundation. 

Our Workplace

Our team at Scaleout, made up of experts in data science, distributed systems and software engineering combines research expertise from top-ranked Uppsala University with business experience from companies such as Google, BCG and Viacom. You will be part of a team that has AI research in its DNA, with a clear goal to impact industry by bringing new edge computing and privacy-enhancing technologies to market. We provide an innovative environment where your work is critical to pioneering AI projects, particularly focusing on federated learning. 

We offer a hybrid workplace with office locations in Uppsala, Stockholm and Göteborg. You will be expected to be available for limited travel between sites, and to customer facilities and to international conferences.

About the Role

You will participate in and lead research projects in our R&D portfolio, working closely with the CTO and the wider engineering team. You will be expected to take a great deal of ownership and individual responsibility for driving the work forward and for ensuring that the results are supporting the business, for example by ensuring that new methods are incorporated in the platform, by participating in pre-sales activities, and by working closely with our customers and partners.

Who You Are

We seek passionate individuals who are eager to tackle complex problems. We believe you have documented expertise in industrially relevant research, documented by scientific publications in leading conferences and journals. You hold a PhD in machine learning, scientific computing, cybersecurity or a related field. Experience in federated learning, software engineering, distributed computing are meriting.

Job requirements

This role has the following set of required and optional qualifications.

Must have Qualifications

• PhD in machine learning, scientific computing, cybersecurity or a related field.
• Documented research expertise by scientific publications in leading conferences and/or journals.

Meriting Qualifications

• Experience with edge computing, federated learning, or distributed ML orchestration.
• Projects involving drones, robotics, autonomous systems.
• Postdoctoral experience.
• Experience from the defence sector.
• Experience with AI infrastructure, MLOps, or privacy-preserving computing.
• Proven track record of collaborative software development.

The successful candidate must be eligible to obtain and maintain a security clearance.

How to Apply

Please send your CV a cover letter to to

. Your cover letter should highlight your experiences and skills relevant to the job requirements, as well as your motivation for applying. Alternatively apply on LinkedIn. 

We look forward to learning more about you and exploring the potential fit with our team.