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

Skills:- Machine Learning (ML), Training & Development, Self motivated and PyTorch

📌 Senior ML Engineer (India)
🏢 Momenta
📍 India