Machine Learning Engineer - Model Efficiency
Fully Remote

Revolutionize Content Creation with AI

Join a team working on Vision Foundation Models as a Machine Learning Engineer with a focus on optimising state-of-the-art AI models, quantization and distillation techniques.

What You'll Do:
- Optimize Cutting-Edge Models: Work with advanced AI models, including diffusion and transformer models, to improve their efficiency.
- Master Model Compression: Apply techniques like quantization and distillation to reduce model size and computational cost.
- Collaborate with Experts: Work closely with a team of world-class AI researchers and engineers.

What You'll Need:
- Strong Foundation in Machine Learning: Deep understanding of neural networks, deep learning, and optimization algorithms.
- Hands-on Experience with AI Frameworks: Proficiency in TensorFlow or PyTorch.
- Expertise in Model Efficiency Techniques: Knowledge of quantization, distillation, and other compression methods.