Reality Defender
Cybersecurity
AudioMLEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Audio ML Engineer II at Reality Defender. Skills: Audio ML, Deepfake detection, Model tuning, Model deployment. Tune ML/DL models. Optimize ML/DL models”
What You'll Achieve.
Ensure model robustness; Ensure model reliability; Ensure model performance
Industry & Context.
Failure case investigation; Mitigation strategies
What They're Looking For.
Must Have
Master's or PhD, 3+ years industry experience, Python programming skills, ML frameworks proficiency, Audio processing fundamentals, Classification and detection metrics, Model robustness and evaluation, Large-scale training pipelines, Benchmarking pipelines experience
Nice to Have
PhD in Computer Science, PhD in Machine Learning, PhD in Signal Processing, PhD in related field, Master's with 3+ years experience
What You'll Do.
Optimize ML/DL models
Investigate failure cases
Build custom evaluation frameworks
Implement mitigation strategies
Drive model iteration
Present technical findings
Interface with Product teams
Interface with Engineering teams
Build deep understanding
Incorporate relevant evaluations
How You'll Work.
Team & Collaboration
Product teams; Engineering teams
Communication Scope
Present technical findings
Full Job Description
WHO WE ARE. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup https://www.youtube.com/watch?v=TKOZmwyNUNM THE AUDIO ML ENGINEER II ROLE. We are seeking an Audio ML Engineer II to build, tune, and deploy state-of-the-art audio deepfake detection models in real-world client environments. You will be responsible primarily for model tuning and deployment, ensuring robustness, reliability, and performance under diverse real-world test conditions — including adversarial and edge-case scenarios. The role requires deep hands-on expertise in model building, training, and benchmarking. WHAT YOU’LL DO - 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 relev
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