At a Glance
- Tasks: Drive innovation in AI model architecture and enhance multimodal systems.
- Company: Join Tether, a leader in the fintech revolution with a global remote team.
- Benefits: Work remotely, collaborate with top talent, and make a real impact in digital finance.
- Why this job: Be at the forefront of AI and blockchain technology, shaping the future of finance.
- Qualifications: Expertise in Python, Pytorch, and experience with large-scale data models.
- Other info: Opportunity for career growth and to contribute to groundbreaking research.
The predicted salary is between 48000 - 84000 £ per year.
Join Tether and Shape the Future of Digital Finance
At Tether, we\’re not just building products, we\’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses-from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world\’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that\’s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you\’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We\’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
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. 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.
Responsibilities
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Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
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Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
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Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
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Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
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Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
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Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
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Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
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Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.
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Bachelor\’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
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Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
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Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
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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:
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PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field
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Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.
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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:
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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:
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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.
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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.
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Double-check email addresses.All communication from us will come from emails ending in@ tether.to
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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.
Senior Research Engineer - Multimodal & Video Foundation Model employer: Tether Operations Limited
Contact Detail:
Tether Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer - Multimodal & Video Foundation Model
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space, especially those at Tether. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a project or a prototype related to multimodal models, share it. Whether it's on GitHub or your personal website, let your work speak for itself.
✨Tip Number 3
Prepare for the interview by diving deep into Tether's products and values. Understand how your expertise in video generation and AI can contribute to their mission of revolutionising digital finance.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the Tether team.
We think you need these skills to ace Senior Research Engineer - Multimodal & Video Foundation Model
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and Pytorch, especially if you've worked on large-scale multimodal datasets. We want to see how your experience aligns with the cutting-edge work we're doing at Tether!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your background fits the Senior Research Engineer role. Mention specific projects or research that relate to video generation and multimodal systems.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the fintech space.
Apply Through Our Website: Remember to apply through our official careers page! It’s the best way to ensure your application gets to us directly and is considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Tether Operations Limited
✨Know Your Stuff
Make sure you brush up on the latest trends in AI, especially around multimodal and video generation models. Familiarise yourself with Tether's products and how they leverage blockchain technology. This will show your genuine interest and help you connect your expertise to their mission.
✨Showcase Your Projects
Prepare to discuss your previous work in detail, especially any projects related to LLMs or generative video models. Bring examples of your code or prototypes if possible. This not only demonstrates your hands-on experience but also gives you a chance to highlight your problem-solving skills.
✨Ask Smart Questions
Come prepared with insightful questions about Tether’s approach to innovation and their future projects. This shows that you’re not just interested in the role, but also in how you can contribute to their vision. Think about how your skills can help them push boundaries in fintech.
✨Be Yourself
While it’s important to be professional, don’t forget to let your personality shine through. Tether values collaboration and creativity, so showing your passion for technology and innovation can set you apart. Remember, they want to see how you’ll fit into their dynamic team!