AI Research Engineer (Multi-Modal & Vision) — Tether Operations
NewCHF 73'500 - 111'500
Tether Operations · Zürich, Zürich (ZH)
- Location
- Zürich
- Contract
- remote
- Posted
- 3 days ago
SalaryCHF 73'500 - 111'500
Role overview
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.
- 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.
- Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
- Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
Main responsibilities
- Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
- Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
- Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
- Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
- Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.
- Build and scale training workflows across distributed GPU infrastructure.
- Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks.
- Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development.
- Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements.
- Publish research findings in top-tier AI conferences and journals where applicable.
Application process
- 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.
Contacts
- Double-check email addresses.
Additional details
- Apply only through our official channels.
Notes and original content
- Responsibilities
