Number of Position(s): 2
Duration: 10 Weeks
Date: June 1st to Aug 7th, 2026
Location: Hybrid in Murray Hill, NJ

EDUCATIONAL RECOMMENDATIONS

The candidate must be enrolled in the second year of a master’s program or in a doctoral program in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field at an accredited college or university within the United States.

---

Join Nokia Bell Labs' AI Accelerator Group and collaborate with a multidisciplinary team developing advanced AI solutions for networks and automation. In this role, you'll research and implement innovative AI and machine learning approaches to solve real-world challenges, design software frameworks and tools to support the full AI lifecycle. You will also contribute to data management, model development, and testing. Guided by experienced mentors, you'll strengthen both your technical and professional skills while contributing to impactful innovations that shape the future of intelligent networks.

---

• AI/ML fundamentals and algorithms: learning strategies, feature engineering, generalized and specialized models

• Full-stack programming: Python, version control, dashboard, scripting, AI/agentic frameworks

• DevOps for AI/ML lifecycle: Kubernetes, continuous deployment, and training

• The ability to interpret and communicate key underlying ideas, concepts, and associated problems in complex research papers and system reports.

• Willingness to contribute with creative, out-of-the-box solutions, to problems arising in a dynamic environment

It would be nice if you also had knowledge or experience of one or more of the following:

• Learning architectures, ML model optimization, model drift detection, lifetime learning, knowledge graphs, or world models

• Developing solutions using single or multi-modal data (e.g., vision, text, RF) combined with machine learning to solve interesting problems.

• Wireless or wireline connectivity fundamentals, such as communication theory, networking, or interconnect fundamentals.
  

---

As part of our team, you will

• Apply research ideas to real-world scenarios under the guidance of experienced mentors.

• Conduct research on novel and existing AI paradigms to address defined problem statements.

• Design and develop high-quality software frameworks and tools for end-to-end AI lifecycles.

• Manage data collection, calibration, and model development for reliable, scalable performance.

• Implement, test, and optimize AI models or agentic workloads for real-time applications.

• Communicate results and insights through reports, presentations, papers, or patents.

• Collaborate across teams to ensure solutions align with deployment, cost, and performance goals.