Applied Scientist II – Audio
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Job Description
Applied Scientist II focusing on audio deepfake detection models at Reality Defender, advancing cybersecurity with cutting-edge technology. Collaborate with teams to ensure model performance in real-world scenarios.
Responsibilities:
- Tune and optimize ML/DL models for production-scale audio deepfake detection.
- Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies for model robustness.
- Drive model iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines.
- Present technical findings and model performance insights to internal stakeholders.
- Interface with Product and Engineering teams to build a deep understanding of the production environment and incorporate relevant evaluations for performance assessment.
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
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