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Nokia Bell Labs · 1 week ago

AI/ML Systems Research Intern

New Providence, NJ

Internship

Hybrid

Intern

Start in 2026 Summer

Nokia Bell Labs is a global leader in connectivity for the AI era, advancing connectivity to secure a brighter world. They are seeking an AI/ML Systems Research Intern to design and implement state-of-the-art AI/ML decentralized systems while validating and evaluating implementations in their labs.

Telecommunications

Diversity & Inclusion

Responsibilities

Design and implement state-of-the-art AI/ML decentralized systems

Validate and evaluate your implementation in our cutting-edge labs

Interface, explore, and learn from the experts

Qualification

Deep learning fundamentalsSystems designDevelopmentPublication record in AIAgentic AI & LLMsAI Systems ArchitectureCompilers & Hardware Co-DesignDistributed Edge AICommunication skillsProblem-solving

Required

Currently a candidate for a PhD in Computer Science, Computer Systems Engineering, Math, Artificial Intelligence, or related field at an accredited school in the USA

Expertise in deep learning fundamentals, including large language models and agent-based systems, and experience with training, deploying, and/or profiling models

Experience in principled systems design and development

Excellent communication skills, with the ability to analyze complex problems and effectively communicate findings

Strong publication record in top-tier AI and systems conferences

Preferred

Familiarity with large-scale model inference and optimization, as well as experience in LLM reasoning, prompt engineering, and resource-constrained computation

Experience managing GPU or accelerator resources, optimizing performance, and benchmarking across different hardware environments

A solid understanding of AI infrastructure design and inference workflows—such as KV-cache management, batching, and offloading

Knowledge of computational graph representations (e.g., ONNX, MLIR, XLA, TorchScript) and model optimization frameworks (e.g., TensorRT, TVM)

Experience working with heterogeneous accelerator ecosystems (e.g., TPUs, AMD ROCm GPUs) or parallelizing compilers

Understanding of distributed or edge inference systems (e.g., Ray Serve, DeepSpeed-Inference, vLLM), with familiarity in blockchain technologies, smart contracts, or wireless networking protocols (Wi-Fi, 3GPP, Bluetooth)

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