Data Scientist
EricssonSweden16 days ago
Full-timeOther
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About This Opportunity
The AI & Emerging Technologies unit focuses on Generative AI, software technologies, Embedded AI, and Data Analytics. We develop prototypes and technology foresight for RAN Software and Compute Engineering by collaborating cross-functionally on network data, analytics, and generative AI to drive innovation.
Within this unit, the Applied Generative AI team aims to build a robust Generative AI practice to transform AI-assisted tooling for R&D and establish generative models for future RAN products.
As a Data Scientist in the Applied Generative AI research team, you will combine programming skills with expertise in deep learning and generative AI. You will conduct research on large language models (LLMs), develop algorithms, and create production solutions that address real-world problems. You will collaborate with product, engineering, and research peers in dynamic and global environments.
What you will do:
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. Learn more.
We target 60% work-from-the office. Last day to apply is 22nd September 2025.
Please note that we do not accept, proceed, or respond for applications sent via e-mail.
Primary country and city: Sweden (SE) || Stockholm
The AI & Emerging Technologies unit focuses on Generative AI, software technologies, Embedded AI, and Data Analytics. We develop prototypes and technology foresight for RAN Software and Compute Engineering by collaborating cross-functionally on network data, analytics, and generative AI to drive innovation.
Within this unit, the Applied Generative AI team aims to build a robust Generative AI practice to transform AI-assisted tooling for R&D and establish generative models for future RAN products.
As a Data Scientist in the Applied Generative AI research team, you will combine programming skills with expertise in deep learning and generative AI. You will conduct research on large language models (LLMs), develop algorithms, and create production solutions that address real-world problems. You will collaborate with product, engineering, and research peers in dynamic and global environments.
What you will do:
- Conduct research on LLM training methods, such as prompt tuning, instruction fine-tuning, retrieval-augmentation, multi-modal integration, efficient fine-tuning (LoRA, adapters), etc.
- Design, prototype, and evaluate generative AI agents and tool-augmented reasoning systems.
- Benchmark generative AI models for performance, alignment (safety, fairness), robustness, and usability; create new evaluation metrics.
- Design data flow and implement machine learning models for production.
- Collaborate with product and engineering teams to integrate cutting-edge research into real-world applications.
- Drive internal research and develop intellectual property and publications.
- Present findings at academic and industry conferences.
- Master's degree (MSc) or Doctorate (Ph.D.) in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive hands-on expertise with large language models, including but not limited to the GPT family, LLaMA, Mistral, and Claude, as well as transformer-based architectures.
- Proficiency in Python and popular machine learning libraries such as PyTorch and Hugging Face Transformers.
- Strong understanding of transformer architectures, self-attention mechanisms, and optimization techniques.
- Solid foundation in traditional machine learning algorithms, including regression, classification, clustering, tree-based methods, and ensemble techniques, alongside deep learning methodologies such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and attention mechanisms.
- Familiarity with MLOps tools and practices, including Docker, Kubernetes, MLflow, and AWS cloud services for data storage and computational purposes.
- Additional experience in publishing papers, white papers, or filing patents is advantageous.
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. Learn more.
We target 60% work-from-the office. Last day to apply is 22nd September 2025.
Please note that we do not accept, proceed, or respond for applications sent via e-mail.
Primary country and city: Sweden (SE) || Stockholm
Key Skills
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