Cutting-Edge AI Architectures Engineer

2 days ago

Saddar Town, Pakistan beBeeArtificialintelligence Full time $120,000 - $140,000

We are seeking a highly skilled Senior Research Engineer to pioneer innovative solutions in architecture development for cutting-edge AI models, driving the future of digital finance.

About the Job

As a Senior Research Engineer, you will lead the design and implementation of novel AI architectures for multimodal language models, integrating text, visual, and audio modalities. Your expertise in Python & Pytorch will enable you to work with large-scale text data, as well as interleaved data spanning audio, video, image, and/or text.

Key Responsibilities:
  • Pioneer research that drives innovation in AI model development, contributing directly to usable prototypes and scalable systems.
  • Design and implement novel AI architectures for multimodal language models, leveraging your expertise in computer vision, video generation foundation models, and multimodal research.
  • Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
  • Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
  • Develop modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
  • Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
Requirements:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
  • Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
  • Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
  • Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models.
Nice to Have:
  • PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field.
  • Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.
  • First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.

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