Senior Model Architect

2 days ago

Bahawalpur City Tehsil, Pakistan beBeeMachineLearning Full time $100,000 - $160,000

Job Title: Lead Architect for AI Model Development

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As a core member of our AI model development team, you will spearhead innovation in architecture design for cutting-edge models of various scales.

You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach.

Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements in data curation, strengthening baselines, and identifying pre-training bottlenecks to push the limits of model performance.

Responsibilities include pioneering multimodal and video-centric research, designing and implementing novel AI architectures, engineering scalable training and inference pipelines, optimizing systems and algorithms, building modular tools for preprocessing and analyzing multimodal data assets, collaborating cross-functionally with research and engineering teams, prototyping generative AI applications, and developing benchmarking tools to evaluate model performance across diverse tasks.

  • Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
  • Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
  • 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.
  • Build 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.
  • Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
  • Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.

The ideal candidate will have a Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. They should be an expert in Python & PyTorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.

A strong background in large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text, is highly desired. Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, or generative video models is required.

Nice to have skills:
  • 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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