Remote Senior Researcher, Deep Learning

Summary

Join our team as a Senior Researcher to conduct applied research in Speech and Natural Language Processing (NLP) and contribute to breakthrough research projects that meet evolving market demands.

Requirements

• 2+ years of professional hands-on experience in deep learning research & development
• Demonstrated experience in all aspects of deep learning model development, including data acquisition and processing, implementation, model training, experimental analysis, and writing inference and evaluation code as an individual contributor
• Experience with training production-grade, large Transformer models on distributed systems
• Strong Python programming skills
• Appetite for writing high-quality, well-designed, and extensible code
• Strong technical and analytical skills for generating new ideas, implementing novel techniques, analyzing experimental results, identifying inefficiencies, and refining the ideas of others through discussion, identifying and addressing problems, as well as reviewing and improving the code of peers
• Strong written and verbal communication skills for technical matters

Responsibilities

• Write training code for large-scale models and conduct experiments to develop state-of-the-art models for Speech AI tasks, including multi-modal LLMs, ASR, speaker recognition, and more
• Stay current with the latest AI research and share relevant insights across the company
• Collaborate with the technology leadership team to define the scope of research projects, prioritize and deprioritize tasks based on product roadmaps and timelines, and take ownership of their execution
• Work closely with the engineering team to deploy new models into production and continuously improve them
• Partner with the data infrastructure team to enhance data quality and optimize the data processing pipeline
• Engage with research communities through activities such as publishing papers or participating in conferences

Preferred Qualifications

• Hands-on experience with JAX/TPUs and distributed training
• Excellent knowledge of GPU and TPU hardware
• Expertise in writing high performance CPU/GPU/TPU code
• Track record of publications in deep learning or its applications at top-tier conferences