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Nokia Bell Labs · 2 weeks ago

GenAI/ML Systems Research Intern

New Providence, NJ

Internship

Onsite

Intern

Start in 2026 Summer

Nokia Bell Labs is a global leader in connectivity for the AI era, seeking a GenAI/ML Systems Research Intern. The role involves contributing to a Machine Learning Operations platform and working on advanced AI/ML systems, focusing on next-generation model training and intelligent workload orchestration.

Telecommunications

Diversity & Inclusion

Responsibilities

The selected candidate will have the opportunity to contribute to a Machine Learning Operations (MLOps) platform, which supports state-of-the-art training and inference features with a focus on sustainable MLOps practices

The selected candidate will have the opportunity to contribute to a GenAI and AI/ML systems

The selected candidates will work on:

Advanced AI/ML systems with a focus on next-generation model training, high-performance inference, and intelligent workload orchestration across heterogeneous compute environments

Building and optimizing LLM-based systems, designing distributed inference workflows across cloud, edge, RAN, or vehicular platforms

Exploring how workload characteristics, model behavior, and system conditions influence latency, throughput, and efficiency

Contribute to experimental prototypes, performance analysis, and cross-cluster or multi-tier execution frameworks that support emerging AI applications

Reliability, observability, and interpretability aspects of AI-enabled network operations, including system modeling and inference-time interventions for multimodal transformers

Collaborate with experienced researchers to investigate real-world constraints such as resource heterogeneity, network dynamics, mobility, and performance variability—helping shape platforms that deliver robust, responsive, and efficient AI services

Qualification

Advanced AI/ML systemsBuilding LLM-based systemsPython programmingPyTorch experienceDeep learning understandingDistributed systems exposureLinux/Unix fundamentalsExperiment designAnalysisDockerKubernetesSoft skills

Required

Currently pursuing a Master's or Ph.D. in Computer Science, Computer Engineering, or a related field with an accredited school in the US

Advanced AI/ML systems with a focus on next-generation model training

Building and optimizing LLM-based systems

Strong programming ability in Python; experience with C++, Go, or Java is a plus

Solid fundamentals in computer systems, networking, and Linux/Unix environments

Experience with PyTorch and modern ML tooling; familiarity with HuggingFace ecosystem

Understanding of deep learning, specifically Transformer architectures

Exposure to distributed systems, containers, and orchestration tools (Docker, Kubernetes)

Ability to design experiments, analyze performance, and debug complex system interactions

Experience with vLLM, SGLang, TGI, TensorRT-LLM, llama.cpp, DeepSpeed, or Ray

Benefits

Flexible and hybrid working schemes to balance study, work, and life

Professional development events and networking opportunities

Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations

Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization

Employee Growth Solutions, mentorship programs, and coaching support for your career development

A learning environment that fosters both personal growth and professional development – for your role and beyond