Machine Learning (ML)Senior Machine Learning Engineer
📍 Location: Remote
💼 Type: Full-Time
💰 Salary: $800 - $1,000 USD / month
Apply at: https://forms.gle/Fwti67UeTEkx2Kkn6
About Us
At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.
Position Overview
We’re hiring a Senior Machine Learning Engineer with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment.
Key Responsibilities
📌 Design and Deliver Core Detection Pipeline
Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies.
📌 Model Strategy, Development, and Optimization
Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment.
📌 Latency-Conscious Production Readiness
Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments.
📌 Evaluation Framework and Continuous Testing
Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions.
📌 Deployment Engineering and API Integration
Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments.
Required Skills & Qualifications
🎯 Technical Skills:
ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript
Audio Libraries: Librosa, Torchaudio, FFmpeg
Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet
Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation
Optimization: Quantization, pruning, GPU acceleration
DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC
🎯 Preferred Experience:
Prior work on audio deepfake detection or telephony speech processing
Experience with real-time ML model deployment
Understanding of adversarial robustness and domain adaptation
Familiarity with call center environments or telecom-grade constraints
Compensation & Career Path:
Competitive pay based on experience and capability. ($800 - $1,000 USD / month)
Full-time with potential for conversion to a core team role.
Opportunity to lead future research and production deployments as part of our AI division.
Why Join Momenta?
Solve a global security crisis with cutting-edge AI.
Own a deliverable that will ship into production at scale.
Join a fast-growing team with seasoned founders and engineers.
Fully remote, high-autonomy environment focused on deep work.
🚀 Apply now and help shape the future of voice security
Shubham Vishwakarma
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About Momenta
About
At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.
Candid answers by the company
At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon