Applied Scientist II (Audio, AI)

TL;DR

Applied Scientist II (Audio, AI): Building and tuning state-of-the-art audio deepfake detection models in real-world client environments with an accent on model tuning and deployment, ensuring robustness, reliability, and performance. Focus on model building, training, and benchmarking under diverse real-world test conditions, including adversarial and edge-case scenarios.

Location: Remote (US)

Salary: $140K – $180K

Company

hirify.global is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media.

What you will do

• Tune and optimize ML/DL models for production-scale audio deepfake detection.
• Investigate failure cases in the client environment and implement mitigation strategies for model robustness.
• Drive model iteration for performance under a variety of real-world environments.
• 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.

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, model robustness and evaluation.
• Experience with large-scale training and benchmarking pipelines.

Culture & 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.