Scaleout’s mission is to enable its customers to develop machine learning solutions without compromising on data ownership and privacy. Our main product is the Scaleout Edge platform – designed to orchestrate machine learning across edge-to-cloud. Being built natively for federated learning, our software helps developers tackle challenges like privacy, security, compliance, and data accessibility that inhibit AI adoption in mission-critical organizations. By bringing AI to the data, we enable our customers to train,deploy and govern AI models as close to the edge and data source as possible, be it on vehicles, drones, edge clouds, or industry robots. 

We are serving customers in mission-critical organizations, including defence, automotive and industrial IoT. As a member of the Scaleout team your research 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 owned by Wallenberg Investments AB, Fairpoint Capital,  ALMI Invest, Uppsala University Invest and the Beijer Foundation.

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 combines the best from research with a clear focus on industrial impact. In our fast-paced, collaborative environment, we emphasize the value of continuous learning, knowledge-sharing and diverse perspectives. As we focus on helping companies in effectively adopting AI, every team member plays a crucial role in contributing ideas and influencing the company's direction. We provide an innovative environment where you can work on pioneering AI projects, particularly focusing on federated learning and adversarial machine learning, to drive significant advancements in the field. All this, while maintaining a strong commitment to data privacy and ethical AI practices.  

We offer a hybrid workplace. The successful candidate will have a home base in one of our office locations in Uppsala, Stockholm or Göteborg, and will be expected to be available for limited travel to customer facilities and to international conferences. 

We seek passionate individuals who are eager to tackle complex problems. You hold an advanced degree in machine learning, computer science, scientific computing or a related field. Experience in federated learning, software engineering and distributed computing are meriting. 

As a person, you thrive in a collaborative environment and feel excited about the opportunity to actively shape the next wave in machine learning, as well as driving the business forward by participating as an expert resource in technical pre-sales.

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

As a member of our machine learning engineering team, your primary focus will be on customer engineering. You will be working closely with our customers to accelerate development of AI use-cases on top of the Scaleout Edge platform. We believe you are passionate about bringing complex new technology to production. 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 delivering outcomes both for our customers and our business. 

You will also contribute to product development and our internal R&D, primarily to our toolkits and workflows realizing machine learning use-cases on top of the Scaleout Edge platform. We believe that you are a high-agency team player, prepared to get the job done also when it requires you to go outside of your technical comfort zone.  

The role will require limited travel to customer premises and to international conferences.  

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

Must have Qualifications 

• Advance degree in machine learning, computer science or a related field. 
• Proficiency in programming in Python. 
• A proven track record of using state-of-the art machine learning techniques to develop AI solutions.
• Theoretical understanding of statistical machine learning.  
• Strong communication skills. 
• Thrive in a high-paced startup environment. 

Meriting Qualifications

• 3-5 years of industrial experience as an ML engineer.  
• Experience in defence, automotive or industrial IoT. 
• Experience from consultancy roles. 
• Development projects involving drones, robotics, autonomous systems.  
• C++, Kotlin, Android development. 
• DevOps including hands-on experience with cloud computing and Kubernetes. 
• Software Engineering experience.  

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

Please send your CV a cover letter to to [email protected]. Your cover letter should highlight your experiences and skills relevant to the job requirements, as well as your motivation for applying.

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