✨ About The Role
- The role involves designing, developing, and optimizing large language models for various natural language processing tasks.
- The candidate will implement and maintain training pipelines, focusing on performance and efficiency.
- Collaboration with engineering, product, UX research, and product design teams is a key responsibility.
- Conducting model evaluations and performance analysis to improve accuracy and reduce biases is expected.
- Staying updated with the latest research in natural language processing and large language models is important.
âš¡ Requirements
- The ideal candidate will have over 5 years of experience in machine learning engineering, particularly in natural language processing and deep learning.
- A strong proficiency in Python programming and familiarity with deep learning frameworks such as TensorFlow and PyTorch is essential.
- The candidate should have expertise in distributed training frameworks and efficient utilization of hardware resources.
- A passion for developing scalable and responsible AI solutions that positively impact society is crucial.
- Excellent communication skills are necessary to collaborate effectively with cross-functional teams.