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Head of AI Research and Development
4 months ago
At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach.
This role is uniquely positioned to oversee the creation and optimization of AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops. Your leadership will guide our team in pushing the boundaries of AI, making high-performance AI technologies accessible and efficient for personal use while setting new industry standards for innovation and utility.
Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility.
What You'll Do:
- Lead the development and execution of our strategy for creating multimodal AI models that set new industry standards.
- Build and nurture a team of AI experts, fostering an environment of innovation, collaboration, and continuous learning.
- Spearhead collaborations with other departments to ensure our AI models are effectively integrated into market-driven solutions.
- Represent Tether in the AI community, sharing our work and learning through open contributions, speaking engagements, and publications.
- A PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D.
- Experience building a LLM or other large models from scratch including writing model code, gathering training data, optimizing training and inference.
- Strong experience in NLP, computer vision, and multimodal learning, proficient in TensorFlow, PyTorch, JAX and CUDA toolkit.
- Demonstrated leadership in managing diverse, high-performing teams, with an emphasis on mentorship and collaborative success.
- Advanced knowledge of distributed and high-performance computing systems.
- Excellent programming skills in Python, C++, JavaScript or similar.
