AI Engineer Intern - LLM Data
About the job
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
- Strong programming skills in Python.
- Good understanding of machine learning, deep learning, natural language processing, or large language models.
- Hands-on experience with large language models through research, coursework, projects, internships, or open-source work.
- Comfortable working with datasets and performing data processing and analysis.
- Ability to work independently and collaborate effectively in a fast-paced research environment.
- Build, curate, and improve datasets for large language model pre-training, mid-training, and post-training, including time-sensitive requests that may require fast turnaround.
- Develop and improve data processing workflows for data extraction, cleaning, filtering, deduplication, transformation, and quality control.
- Use large language models to generate, refine, filter, and evaluate synthetic data.
- Analyze data quality and identify issues such as duplication, low-quality samples, distribution gaps, and coverage limitations.
- Run experiments to understand how different data sources and processing strategies impact model performance.
- Support model inference, evaluation, and training experiments when needed to validate data quality.
- Research new datasets, data processing techniques, and large language model data methodologies.
- Collaborate closely with researchers and engineers on fast-moving foundation model projects.
- Experience with PyTorch, Hugging Face, vLLM, or similar machine learning or large language model frameworks.
- Experience with large language model data synthesis, fine-tuning, model evaluation, or prompt-based generation.
- Familiarity with large language model training pipelines, including pre-training, supervised fine-tuning, or other post-training methods.
- Experience working with large-scale datasets or distributed data processing.
- Relevant research, open-source contributions, competitions, or personal projects in large language models or generative artificial intelligence.
About the company
IFM builds and studies foundation models—large AI models designed to learn broadly from diverse data and be used across many tasks. Its work centers on academic research to create open, fast, and practical models that address real-world societal needs, rather than narrow applications. The models are developed by a global team across Abu Dhabi, Paris, and Silicon Valley, with a strong emphasis on openness and collaboration to advance AI science and accessibility. Unlike typical private labs that lock models behind paywalls, IFM aims to provide publicly accessible, efficient models that can be used by researchers and developers to solve real problems. The overarching goal is to push the science of foundation models forward while ensuring their benefits reach society at large.
Company Size
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Company Stage
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Total Funding
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Headquarters
United Arab Emirates
Founded
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Get referred to Institute of Foundation Models
See people who can refer or advise you
Simplify's Take
What believers are saying
- AWS, Cerebras, Nebius, Hugging Face, vLLM, and SGLang already distribute K2 Horizon.
- October 2026 benchmark chatter praises K2 Horizon's small models and 375B enterprise flagship.
- MBZUAI's October 2026 hiring surge supports rapid expansion across agents, world models, and infrastructure.
What critics are saying
- Open-sourcing K2 Horizon hands competitors reproducible recipes, shrinking IFM's moat by 2027.
- MBZUAI listed 45 IFM vacancies on October 2, 2026, signaling heavy execution strain.
- If K2 Horizon misses commercial adoption, IFM remains a prestige lab dependent on state capital.
What makes Institute of Foundation Models unique
- September 3, 2026 K2 Horizon shipped six fully open models with weights, code, and data.
- IFM offers Apache 2.0 frontier models, unlike closed labs protecting training recipes and checkpoints.
- MBZUAI-backed labs in Abu Dhabi, Silicon Valley, and Paris combine research depth with deployment access.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Paid Vacation
- Paid Holidays
- Parental Leave
- Employee Assistance Program
- Life Insurance
- Disability Insurance
- 401(k) Plan
- Wellness Program
- Flexible Work Hours