> Markdown version of [/jobs/ext/805043-data-scientist-ii](https://www.wearedevelopers.com/jobs/ext/805043-data-scientist-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II - **Company:** Ericsson - **Location:** Santa Clara, CA, United States - **Salary:** $122,500.0 - $161,175.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Cellular Networks, Computer Clusters, Python (Programming Language), Machine Learning, Tensorflow, Wireless Networks, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Information Technology, Free and Open-Source Software, Machine Learning Operations - **Published:** June 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2857a70c992eb0f6 ## About the Role Do you have experience in Public Cloud?, Do you have a Master of Science?, * MS in Computer Science or a closely related field with strong foundations in machine learning. * 1-4 years of experience (industry and/or research) working with deep neural networks, ideally including large-scale or LLM-based models. * Strong Python programming skills and experience with modern ML frameworks (e.g., PyTorch, JAX). * Proven ability to read and understand research papers and implement or reproduce the described methods. * Experience working with at least one cloud platform (GCP, AWS, or Azure). * Comfort working in a rapidly changing AI environment, handling uncertainty, and continuously upskilling. * Clear communication and collaborative mindset in a professional team setting. Preferred Skills (great to have, not all required) * Publications in relevant conferences or journals (e.g., CVPR, NeurIPS, ICLR, ICML). * Open-source contributions related to ML, vision, NLP, systems, or tooling. * Experience in an applied research or product team, especially on projects that moved from PoC to production. * Familiarity with telecom, wireless networks, or RAN concepts, or strong motivation to learn these domains. Exposure to: * Multi-modal models (text, vision, structured data) * MLOps / productionizing models * LLM-based agents frameworks * or Model compression ## Description * Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Ericsson also does not hire F-1's working on CPT or EAD for this position. AIII (AI Innovation & Incubation) Silicon Valley is a team of applied research scientists using AI and foundation models (LLMs, LVMs) to solve real problems across all layers of the cellular network. We turn ideas into PoCs, MVPs, and production solutions used by Ericsson's Business Areas and Market Areas worldwide. As a Data Scientist you will work with the team to explore AI-RAN and RAN-for-AI opportunities, build and train advanced models, and see your work move from experiment to real-world impact in the telecom network. What you will do * Design, train, and evaluate deep neural networks, including LLMs and other foundation models, for telco-relevant use cases. * Prototype AI agents and solution pipelines that use LLMs/LVMs and modern ML techniques to improve network performance and operations. * Translate research into code by reading top-tier conference papers (e.g., CVPR, NeurIPS, ICML, ICLR) and reproducing key ideas in experiments. * Run experiments on cloud platforms (e.g., GCP, AWS, Azure) or on-prem GPU clusters as part of scalable training and evaluation workflows. * Collaborate with applied researchers, engineers, and domain experts to turn PoCs into solutions that can be productized. * Stay current with the fast-moving AI landscape, evaluating new methods and tools and suggesting how we can apply them in our work. * You'll thrive here if you enjoy ambiguity, rapid change, and learning fast in a field that is evolving every day., 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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