At a Glance
- Tasks: Drive innovation in AI model architecture and develop cutting-edge multimodal systems.
- Company: Join a leading tech company at the forefront of AI research.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Collaborative environment with potential for impactful contributions to real-world applications.
- Why this job: Be part of groundbreaking research that shapes the future of AI technology.
- Qualifications: Bachelor's degree in a technical field and expertise in Python & PyTorch required.
The predicted salary is between 59400 - 72600 £ per year.
- 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.
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 & Py Torch, 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
- Ph D 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, Neur IPS 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 Linked In 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 Whats App, 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.
- Job details
- 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 employer: Tether.io
At Tether, we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration in the heart of the tech industry. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge AI technologies, all while working in a dynamic environment that encourages creativity and exploration. Join us to be part of a team that not only values your contributions but also empowers you to shape the future of multimodal AI.
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We think you need these skills to ace Senior Research Engineer - Multimodal & Video Foundation Model
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