Machine Learning Engineer
Job Description
This position is available in Uppsala, Stockholm, and Göteborg.
About Scaleout Systems
Scaleout Systems develops AI/ML infrastructure solutions specializing in federated learning across edge-to-cloud environments.
The Role
Join as a Machine Learning Engineer for customer-focused roles developing AI solutions on the Edge platform. The team combines research credentials from Uppsala University with industry experience from Google, BCG, and Viacom. Hybrid work model with office bases in Uppsala, Stockholm, or Göteborg.
What You'll Do
-
Engage directly with customers to accelerate AI use-case development
-
Own significant portions of project work and deliver business outcomes
-
Contribute to product development and internal R&D initiatives
-
Focus on toolkits and workflows for ML implementation
-
Travel to customer sites and international conferences as needed
Requirements
-
Required: Advanced degree in machine learning, computer science, or related discipline
-
Strong Python programming proficiency
-
Demonstrated success applying cutting-edge ML techniques to production systems
-
Solid grasp of statistical machine learning theory
-
Excellent communication abilities
-
Ability to thrive in fast-paced startup settings
-
Security clearance eligibility required
Nice to Have
-
3-5 years in industrial ML engineering roles
-
Background in defense, automotive, or industrial IoT sectors
-
Consulting experience
-
Projects involving drones, robotics, or autonomous systems
-
C++, Kotlin, or Android development
-
DevOps and cloud technologies (Kubernetes)
-
Software engineering expertise
Skills & Technologies
Company Info
Scaleout Systems
Federated learning platform provider enabling secure, privacy-preserving machine learning across dis...
Other Jobs at Scaleout Systems
Similar Opportunities
Job Description
This position is available in Uppsala, Stockholm, and Göteborg.
About Scaleout Systems
Scaleout Systems develops AI/ML infrastructure solutions specializing in federated learning across edge-to-cloud environments.
The Role
Join as a Machine Learning Engineer for customer-focused roles developing AI solutions on the Edge platform. The team combines research credentials from Uppsala University with industry experience from Google, BCG, and Viacom. Hybrid work model with office bases in Uppsala, Stockholm, or Göteborg.
What You'll Do
-
Engage directly with customers to accelerate AI use-case development
-
Own significant portions of project work and deliver business outcomes
-
Contribute to product development and internal R&D initiatives
-
Focus on toolkits and workflows for ML implementation
-
Travel to customer sites and international conferences as needed
Requirements
-
Required: Advanced degree in machine learning, computer science, or related discipline
-
Strong Python programming proficiency
-
Demonstrated success applying cutting-edge ML techniques to production systems
-
Solid grasp of statistical machine learning theory
-
Excellent communication abilities
-
Ability to thrive in fast-paced startup settings
-
Security clearance eligibility required
Nice to Have
-
3-5 years in industrial ML engineering roles
-
Background in defense, automotive, or industrial IoT sectors
-
Consulting experience
-
Projects involving drones, robotics, or autonomous systems
-
C++, Kotlin, or Android development
-
DevOps and cloud technologies (Kubernetes)
-
Software engineering expertise
Skills & Technologies
Company Info
Scaleout Systems
Federated learning platform provider enabling secure, privacy-preserving machine learning across dis...
