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TetherAI & Machine Learning 23d ago
AI Research Engineer - Pre-training (LLM)
Remote (Global)
Full-time
Not Mentioned
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Job Description
Tether, the company behind the world's most trusted stablecoin (USDT), is expanding its empire into Tether Data and Tether Power. They are pioneering a global financial revolution and are now pushing the boundaries of AI. They are seeking an AI Research Engineer to drive innovation in architecture development for cutting-edge models (Small, Large, and Multi-modal). Your mission is to conduct pre-training on large, distributed servers equipped with thousands of GPUs.
Key Responsibilities
- Pre-training at Scale: Conduct pre-training of AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
- Architecture Design: Design, prototype, and scale innovative architectures (Transformers & Non-Transformers) to enhance model intelligence.
- Research & Experimentation: Independently execute experiments, analyze results, and refine methodologies for optimal performance (strengthening baselines, resolving bottlenecks).
- Optimization: Investigate, debug, and improve model efficiency and computational performance.
- System Advancement: Contribute to the advancement of training systems to ensure seamless scalability on target platforms.
Requirements
- Education: Degree in Computer Science; PhD in NLP, Machine Learning, or related field is ideal.
- Track Record: Solid track record in AI R&D with good publications in A conferences* (NeurIPS, ICML, ICLR, etc.).
- Scale Experience: Hands-on experience contributing to large-scale LLM training runs on distributed servers with thousands of GPUs.
- Tech Stack: Strong expertise in PyTorch and Hugging Face libraries.
- Deep Knowledge: Deep understanding of state-of-the-art Transformer and non-transformer modifications.
- Distributed Training: Familiarity with large-scale, distributed training frameworks and tools.
Why Join Tether?
- Resource Rich: Tether has massive financial backing, allowing them to acquire state-of-the-art infrastructure (Thousands of H100s/A100s) that few startups can afford.
- Global Talent: Work with a global powerhouse team remotely from every corner of the world.
- Innovation: Work at the intersection of AI, Peer-to-Peer technology (KEET), and Bitcoin mining energy solutions.
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