AI Research Engineer (Multi-Modal & Vision)
Tether Operations Limited5 months ago
Remote, WorldwideSenior
Responsibilities
- Conduct end-to-end research and engineering on vision-language models across training, evaluation, and optimization.
- Design and implement post-training pipelines using supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
- Curate, filter, balance, and maintain high-quality multimodal datasets for domain-specific tasks.
- Adapt and optimize models for efficient deployment in resource-constrained environments.
- Build evaluation frameworks and benchmarks for model performance, robustness, and real-world task success.
- Build and scale training workflows across distributed GPU infrastructure and resolve pipeline bottlenecks.
- Contribute to and leverage open-source models, datasets, and tooling.
- Track multimodal learning and vision-language research and apply relevant findings to production improvements.
- Publish research findings in top-tier AI conferences and journals where applicable.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, or a related field; an MS or PhD is preferred.
- Strong experience with multimodal post-training workflows, including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
- Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
- Demonstrated ability to build and improve vision-language models with measurable benchmark or real-world results.
- Experience adapting models for resource-constrained environments.
- Proven open-source contributions in multimodal AI on GitHub or Hugging Face.
- Publications at top AI conferences such as NeurIPS, ICML, ICLR, CVPR, or ECCV.
Benefits
- Remote work with a globally distributed team.
- Opportunity to work on multimodal AI and digital-finance technology with a small, high-caliber team.
Categories
AI ResearchML Engineering
About Tether Operations Limited
Tether Operations Limited develops and issues reserve-backed digital tokens used by exchanges, wallets, payment processors, and merchants, most notably the USDT stablecoin available across multiple blockchains. Founded in 2014 and privately held, it earns revenue from token issuance, reserve management, and related services, and has expanded into tokenization, peer-to-peer communications (Keet), and Bitcoin mining. USDT is widely used in crypto trading and cross-border transfers, including in emerging markets.