Applied Scientist Intern – Audio Language Modeling
| Company | Reality Defender |
|---|---|
| Location | New York, NY, USA |
| Salary | $28.846209319633 – $46.153934911413 |
| Type | Internship |
| Degrees | PhD |
| Experience Level | Internship |
Requirements
- Currently enrolled in a PhD program with specialization in machine learning/deep learning, natural language processing, and/or speech processing.
- 2+ years of experience with training/fine-tuning large models, esp. audio language models, speech foundation models, multi-modal foundation models.
- Experience with end-to-end model building pipeline for ML tasks: dataset curation/cleaning, model implementation, benchmarking, and result analysis.
- Familiarity with distributed multi-GPU training.
- Prior experience with publications in reputable ML/Audio/NLP research venues, e.g. NeurIPS, Interspeech, ICASSP, ACL, EMNLP.
Responsibilities
- Explore and conceptualize novel methods to leverage different modalities (e.g., speech, text) for deepfake detection and relevant audio understanding tasks.
- Perform fundamental and applied research to advance the current state-of-the-art on audio deepfake detection.
- Build models with generalizability to unseen generative methods – Collaborate with scientists and engineers across the organization.
- Summarize, publish, and present research findings.
Preferred Qualifications
-
No preferred qualifications provided.