Senior Software Development Engineer

1 week ago

Rawalpindi Cantonment, Pakistan beBeeResearch Full time $180,000 - $250,000
Job Overview

We're seeking a seasoned Research Engineer to spearhead innovative architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems.

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: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.

Key Responsibilities:

  • 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.

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 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.

Please apply through our official channels. All open roles are listed on our careers page.

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