AI Foundations Research Scientist Intern

IBM

Confirmed live yesterday High trust

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Work type: On-site
Location: —
Employment: Intern
Posted: 7 days ago
Freshness: Confirmed live yesterday

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Similar $193k

$116k most similar roles pay here $281k

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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TL;DR · AI Foundations Research Scientist Intern

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AI Foundations - Research Scientist - Research Internship - 2027 is a role within the AI Foundations Research team focused on developing multi-modal, multi-lingual systems and foundational research for large-scale models. You will engage in the full research lifecycle by identifying core challenges, designing prototype solutions, and conducting rigorous experimentation to advance training algorithms, fine-tuning, reinforcement learning, and inference-time scaling. The work involves building generative programming for language and code while contributing to open innovation initiatives through publications and patent applications. To succeed, you must possess a deep theoretical understanding of Large Language Models, Vision-Language Models, and Transformer-based architectures. Required skills include Python proficiency for rapid prototyping, experience with PyTorch, and strong quantitative analysis capabilities. The role addresses critical problems in data quality, model architecture, and the development of trustworthy, high-impact AI systems across various modalities.

Skills

Large Language Models Vision-Language Models Transformer Python PyTorch Generative AI Reinforcement Learning Fine-tuning High Performance Computing Quantum Computing Hybrid Cloud Machine Learning

What you'll do

Identify core research challenges and design novel prototype solutions for artificial intelligence.
Conduct foundational research on training algorithms, fine-tuning, reinforcement learning, and inference-time scaling.
Develop multi-modal systems covering vision, speech, language, and code.
Build and implement large-scale machine learning systems using Python and PyTorch.
Manage the full research lifecycle from initial ideation to project completion.
Validate research findings through rigorous experimentation and quantitative analysis.
Author technical papers for submission to leading conferences and file patent applications.
Create high-impact technical demonstrations to communicate complex research concepts.

What we're looking for

A Bachelor's degree is required.
A Master's degree is preferred.
Candidates must have a deep theoretical understanding of LLMs, VLMs, and Transformer-based architectures.
Proficiency in Python for rapid prototyping and implementing large-scale machine learning systems is required.
Candidates must demonstrate strong quantitative analysis and problem-solving skills to deconstruct complex research problems.
A track record of innovation through peer-reviewed publications or preprints is required.
Advanced expertise in PyTorch and full-cycle development of algorithms and systems is preferred.
Experience with generative AI and multimodal models from training to testing is preferred.

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