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# Senior Data Scientist

- **Company:** Ericsson
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $156,000.0 - $204,225.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Computer Vision, Microsoft Azure, Computer Clusters, Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, Tensorflow, Wireless Networks, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Agentic-AI, Information Technology
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=49b18544adf6775b

## About the Role

* Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a related field, with 4+ years (MS) or 1+ year (PhD) of relevant industry experience.
 * 5+ years of experience working with deep neural networks (industry and/or research).
 * Strong Python programming skills and hands-on experience with modern ML frameworks such as PyTorch or JAX.
 * Demonstrated ability to read, understand, and implement methods from research papers.
 * Experience with at least one cloud platform (GCP, AWS, or Azure).
 * Clear communication skills and a collaborative approach to working in a professional team setting.
 * Publications in relevant venues (e.g., CVPR, NeurIPS, ICLR), open-source ML contributions, or experience taking projects from PoC to production are a plus.
 * Familiarity with telecom, wireless networks, or RAN concepts - or a strong motivation to learn these domains - is preferred.
 * Hands-on experience in 3D vision or ROS is a big plus.
 * AI is becoming core to how we build and deliver at Ericsson. We're seeking talents who are ready to learn, adapt, and develop the skills needed to thrive in an AI-enabled future.

## Description

* Design, train, and evaluate deep neural networks - including vision-language models (VLMs) and other foundation models - for telecom-relevant use cases.
 * Prototype AI agents and solution pipelines using large language models (LLMs), multimodal LLMs, VLMs, and modern machine learning techniques to improve network performance and operations.
 * Translate research into working code by reading leading conference papers (e.g., CVPR, NeurIPS, ICML, ICLR) and reproducing key ideas through experiments.
 * Run experiments on cloud platforms (GCP, AWS, Azure) or on-premises GPU clusters as part of scalable training and evaluation workflows.
 * Collaborate with applied researchers, engineers, and domain experts to develop PoCs into production-ready solutions.
 * Stay current with the evolving AI landscape, evaluate new methods and tools, and identify opportunities to apply them to ongoing work., DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.