Tether.io
Senior Research Engineer - Multimodal & Video Foundation Model
Tether.io, Italy, New York, United States
Overview
Senior Research Engineer - Multimodal & Video Foundation Model As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. 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. Qualifications
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. Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Seniority level
Not Applicable Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Internet
#J-18808-Ljbffr
Senior Research Engineer - Multimodal & Video Foundation Model As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. 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. Qualifications
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. Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website. Seniority level
Not Applicable Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Internet
#J-18808-Ljbffr