At a Glance
- Tasks: Innovate in AI by reducing model size and boosting efficiency for advanced systems.
- Company: Tether, a leading AI research firm in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a dynamic environment pushing the boundaries of AI technology.
- Why this job: Join a cutting-edge team and make a real impact in AI research.
- Qualifications: PhD in a relevant field and experience with PyTorch required.
The predicted salary is between 60000 - 80000 £ per year.
Tether in Greater London is looking for an AI Researcher specializing in model compression for multimodal systems. The role involves innovation in reducing model footprint and enhancing efficiency in deploying advanced AI systems like large language models.
Responsibilities include:
- Applying quantization and knowledge distillation techniques.
Qualifications require:
- A PhD in a relevant field.
- Experience with PyTorch.
This position offers the chance to contribute meaningfully in a cutting-edge area of AI research.
Edge AI Research Engineer: Multimodal Model Compression in London employer: Tether
Tether is an exceptional employer located in the vibrant tech hub of Greater London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from continuous professional development opportunities, competitive compensation, and the chance to work on groundbreaking AI research projects that have a real-world impact. With a focus on cutting-edge technology and a supportive environment, Tether is committed to empowering its team members to thrive in their careers.
