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Posted 1 weeks agoStaff ML Engineer (Audio)
GlobalRemote
Responsibilities
- - Design and execute structured experimentation roadmaps aligned with client
- Identify degradation trends, data drift, and emerging threat patterns before they impact client outcomes. - Build and maintain dashboards and analytics pipelines that surface model health metrics, enabling data-driven decisions across AI, Engineering, and Product teams. - Collaborate with cross-functional partners — Applied Scientists, Deployment Engineers, and Product teams — to deploy scalable, production-grade models with clear performance benchmarks and monitoring in place.
Requirements
- Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated 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.
- This role requires deep hands-on expertise in model building, training, benchmarking, and productionization — along with the ability to translate complex model behavior into actionable insights for both technical and non-technical stakeholders.
- WHAT YOU'LL DO: - Design, build, and optimize ML/DL models for production-scale audio deepfake detection, ensuring robustness across diverse real-world conditions including compression artifacts, noise, telephony, and streaming pipelines.
- - Partner with clients to develop a deep understanding of their production environments and define model performance criteria.
- - Investigate failure cases in client environments, build custom evaluation frameworks, and implement mitigation strategies spanning both Engineering and AI.
- Translate findings into clear and actionable insights. - Monitor, measure, and report on model performance in production using data analytics and AI observability tools (e.g. Datadog, Metabase).
- 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. - Proven
- experience with large-scale training and benchmarking pipelines - Prior
- experience in a client-facing or solutions-oriented AI role is a plus. - Preference for candidates comfortable with EST work hours. WHAT WE OFFER. Reality Defender offers the following
Experience
- WHO YOU ARE. - PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent industry experience). - 2+ years of industry
Benefits
- benefits to all our employees, regardless of location: - 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
Contact
- Youtube: Reality Defender Wins RSA Most Innovative Startup https://www.youtube.com/watch?v=TKOZmwyNUNM STAFF ML ENGINEER (AUDIO) We are seeking a Staff ML Engineer (Audio) to build, tune, and deploy state-of-the-art audio deepfake detection models in real-world client environments.
Additional details
- Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media.
- This is a highly cross-functional client-facing role requiring close collaboration with Research, Production Engineering, and Customer Success teams.
- You will be responsible not just for model development, but for ensuring robustness, reliability, and performance under diverse real-world test conditions — including adversarial and edge-case scenarios.
- requirements and proactive system resilience goals.
- benefits - Annual company-sponsored offsite For employees working from Reality Defender’s HQ in NYC, we offer the following
- benefits: - Daily in-office lunch through UberEats - Commuter
- benefits - Remote Fridays - Happy Hours and other local events