GenAI/ML Systems Research Intern jobs in United States
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Nokia · 1 month ago

GenAI/ML Systems Research Intern

Nokia is a global leader in connectivity for the AI era. They are seeking a GenAI/ML Systems Research Intern to contribute to a Machine Learning Operations platform and advanced AI/ML systems, focusing on next-generation model training and intelligent workload orchestration.

ElectronicsEnterprise SoftwareInternet of ThingsMobile DevicesTelecommunications
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Culture & Values
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H1B Sponsor Likelynote

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 systemsProgramming in PythonPyTorchDeep learningExposure to distributed systemsC++GoJavaSolid fundamentals in computer systemsNetworking knowledgeLinux/Unix environmentsHuggingFaceContainersOrchestration toolsDesign experimentsAnalyze performanceDebug complex systemsVLLMSGLangTGITensorRT-LLMLlama.cppDeepSpeedRay

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

Company

Nokia manufactures mobile devices, network infrastructure, and location-based technology for businesses. It is a sub-organization of Enscryb.

H1B Sponsorship

Nokia has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (262)
2024 (264)
2023 (259)
2022 (250)
2021 (296)
2020 (287)

Funding

Current Stage
Public Company
Total Funding
$4.45B
Key Investors
European Investment BankNVIDIANational Telecommunications and Information Administration
2025-12-16Post Ipo Debt· $511.84M
2025-10-28Post Ipo Equity· $1B
2025-06-30Post Ipo Debt· $1.76B

Leadership Team

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Justin Hotard
President and CEO
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Victoria Hanrahan
Chief of Staff to the CEO
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Company data provided by crunchbase