Reality Defender is an award-winning cybersecurity company seeking an Applied Scientist II to build, tune, and deploy state-of-the-art audio deepfake detection models in real-world client environments.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related field.
- Fresh PhD graduate, or Masters with 3+ years of industry experience building and deploying ML/DL models for AI products.
- Strong programming skills in Python and model ML frameworks (PyTorch, JAX).
- Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation.
- Experience with large-scale training and benchmarking pipelines, either in an academic or an industry research role.
Benefits
- Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents
- Dental and Vision plans with 100% premium coverage for employees and their dependents
- Short/Long-term disability and life insurance plans with 100% premium coverage for employees
- FSA/HSA and 401k programs
- Equity compensation
- 20 days of PTO per year
- 12 weeks of Parental Leave
- Learning and Development budget
- Monthly wellness benefits
- Annual company-sponsored offsite
- Daily in-office lunch through UberEats
- Commuter benefits
- Remote Fridays
- Happy Hours and other local events