AI Research Engineer: World Models & Foundation Models

Clarovate; United States; Hybrid; USD 140,000 - 230,000; Full time

Job summary

Clarovate is seeking an AI Research Engineer to help design and build world models and foundation models for video understanding and intelligent agents. This is a research engineering role focused on inventing neural architectures, training models from scratch, and reproducing cutting-edge research from leading AI conferences.

You will collaborate with research teams, prototype ideas rapidly, and push the boundaries of deep learning.

Qualifications

• Strong background in neural networks and world models research.
• Experience reproducing NeurIPS/ICLR/CVPR papers.
• Ability to implement architectures from scratch.
• Proven record of open-source contributions.
• PhD or Master's in CS/AI preferred.

Responsibilities

• Design and implement novel neural network architectures for world models and foundation models.
• Build Transformer architectures completely from scratch without relying solely on existing libraries.
• Develop and improve attention mechanisms, transformer blocks, and latent representation models.
• Train large-scale deep learning models from scratch using distributed GPU infrastructure.
• Research, reproduce, and extend recent papers from NeurIPS, ICLR, CVPR, ICML, and other leading AI conferences.
• Develop world models capable of learning predictive representations from video data.
• Design latent‑space prediction models instead of conventional pixel‑space prediction.
• Rapidly prototype, evaluate, and iterate on new research ideas.
• Collaborate closely with research teams to explore new approaches in representation learning and generative modeling.
• Continuously evaluate emerging AI research and translate theoretical concepts into working implementations.

Skills

Transformer

PyTorch

Distributed Training

Video Understanding

Research Experience

Tools

CUDA

DeepSpeed

Triton

C++

Job description

Clarovate is seeking an AI Research Engineer to help design and build world models and foundation models for video understanding and intelligent agents. This is a research engineering role focused on inventing neural architectures, training models from scratch, and reproducing cutting-edge research from leading AI conferences.

You will collaborate with research teams, prototype ideas rapidly, and push the boundaries of deep learning.