Challenges that await you:

• Train, fine-tune, and adapt models for practical internal use cases
• Work on ASR-related tasks, including model training, improvement, and practical adaptation to product needs
• Work with datasets end to end: define data requirements, prepare and structure data, support labeling workflows, and improve data quality
• Optimize models for practical use, including performance, efficiency, and quality trade-offs
• Collaborate with engineers to bring trained or adapted models into real production use cases

What makes you a great fit: 

• Demonstrated experience in deep learning and transformers models
• Strong experience with Automatic Speech Recognition (ASR) systems
• Proficiency in frameworks like PyTorch
• Understanding of how model quality depends on dataset design, labeling quality, and data preparation
• Ability to go deeper than standard training notebooks and make informed decisions during training and optimization
• Strong foundation in data structures, algorithms, and software engineering principles
• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
• Ability to work collaboratively with cross-functional teams
• Experience with OCR systems is a plus
• Experience with content understanding or abuse prevention with LLMs is a plus