AIML - ML Researcher, AFM

We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including end-to-end voice interactions, natural language processing, and combining learning with knowledge.

• Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products

• Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow

• Ability to work in a collaborative environment.

• PhD, or equivalent practical experience, in Computer Science, or related technical field.

Preferred Qualifications

• Code Large language models.

• Experience in building end-to-end voice models.

• Experience in speech recognitions and generations.

• Experience in reinforcement learning, on-policy distillation.

• Experience in post-training, mid-training large language models.