Ericsson
The Senior Machine Learning Engineer at Ericsson Enterprise Wireless Solutions designs, builds, and maintains end-to-end machine learning pipelines for data ingestion, model training, evaluation, deployment, and monitoring. This role involves deploying scalable ML models as microservices and APIs, automating infrastructure provisioning, and integrating models into cloud-native architectures using AWS services. The position requires collaboration with DevOps and platform teams to enhance system observability, cost efficiency, and model performance monitoring.
Ericsson is a Swedish multinational telecommunications company that designs, builds and operates mobile and fixed broadband networks and sells related equipment and services to carriers and enterprises. Its offerings span radio access networks (RAN), 5G core and transport, cloud‑native software, OSS/BSS, managed services, private networks, and IoT solutions, with a strong emphasis on 5G deployment and network automation. Ericsson combines hardware, software and professional services to support large‑scale network rollouts, optimization and operation worldwide. It is a major contributor to telecom standards and R&D, widely chosen for its global scale, patent portfolio and carrier expertise.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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Ericsson didn’t post a salary, so this is our estimate from similar listings.