AI Research Engineer (Multi-Modal & Vision)
Tether Operations Limited4 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 models for resource-constrained environments using compression and optimization techniques.
- Build evaluation frameworks and benchmarks for model performance, robustness, and real-world task success.
- Build and scale training workflows across distributed GPU infrastructure.
- Identify and resolve training-pipeline bottlenecks to improve model quality on target benchmarks.
- Contribute to and leverage open-source models, datasets, and tooling.
- Track multimodal learning and vision-language research and translate findings into practical improvements.
- Publish research findings in top-tier AI conferences and journals where applicable.
Requirements
- Degree in Computer Science, Machine Learning, or a related field; a master’s 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 results on standard benchmarks or real-world tasks.
- Experience adapting models for resource-constrained environments.
- Proven open-source contributions in multimodal AI on GitHub or HuggingFace.
- Publications at top AI conferences such as NeurIPS, ICML, ICLR, CVPR, or ECCV.
- Excellent English communication skills.
Benefits
- Remote work from anywhere in the world.
- Opportunity to work with a small, high-caliber AI team on multimodal models for production deployment.
- Opportunity to contribute to open-source AI and publish research.
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.