At a Glance
- Tasks: Drive architecture development for large-scale AI models and collaborate on innovative research.
- Company: Tether, a leader in AI research with a global team.
- Benefits: Remote work, competitive salary, and opportunities for international collaboration.
- Other info: Dynamic role with potential for significant impact in AI R&D.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience with transformers, distributed frameworks, and PyTorch/Hugging Face.
The predicted salary is between 63000 - 77000 £ per year.
Tether's AI model team is seeking a seasoned researcher to drive architecture development for large-scale LLM and multi-modal systems.
You will push state-of-the-art pre-training and alignment while scaling training across large GPU clusters.
You will apply your deep knowledge of transformers, distributed frameworks, and Py Torch/Hugging Face to deliver robust, efficient models.
This remote, international role invites collaboration with researchers worldwide on cutting-edge AI R&D.
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Remote AI Research Engineer — LLM & Multimodal employer: Tether
Tether is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an Edge AI Inference Engineer. With a strong emphasis on employee growth, Tether offers numerous opportunities for professional development and encourages team members to push the boundaries of AI technology in a supportive environment. Located in a vibrant tech hub, employees benefit from a dynamic work atmosphere and access to cutting-edge resources, ensuring that your contributions have a meaningful impact on real-world applications.
