Senior Applied ML Engineer – Speech, Audio

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Design, refine, and enhance sophisticated machine learning models tailored for Arabic voice applications.

• Engage in the entire development lifecycle, from constructing data pipelines and experimenting with models to optimizing inference and deploying in production.

• Evaluate and benchmark TTS and ASR models utilizing Arabic-specific test sets, assessing metrics like Word Error Rate (WER), naturalness, and dialect coverage.

• Fine-tune generative models for tasks such as voice cloning, zero-shot speaker adaptation, and speech synthesis.

• Develop and sustain data pipelines focused on Arabic, encompassing: audio collection and preprocessing, diacritization (Tashkil), and data cleaning and augmentation.

• Optimize model inference for production settings through: quantization, KV-cache tuning, and streaming inference techniques.

• Integrate and assess comprehensive speech-to-speech conversational pipelines.

• Conduct experiments grounded in contemporary research papers and translate findings into production-ready solutions.

• Collaborate with engineering and product teams to implement robust and scalable speech systems.

⛳️ Requirements

• Over 5 years of experience in Machine Learning, Applied AI, or AI Research.

• Proficient programming skills in Python.

• Extensive practical experience with PyTorch and the Hugging Face ecosystem.

• Demonstrated expertise in training and fine-tuning neural models for: Text-to-Speech (TTS), Automatic Speech Recognition (ASR), and audio codecs.

• In-depth knowledge of modern speech architectures, including: Whisper, Conformer, HiFi-GAN, and diffusion-based models.

• Familiarity with audio processing techniques such as: Voice Activity Detection (VAD), speaker diarization, and neural vocoders.

• Proven capability to implement and adapt research findings into effective production experiments.

• Strong grasp of the challenges associated with the Arabic language, including: diacritization (Tashkil), dialectal variations, and code-switching.

• Experience with inference optimization strategies like: quantization, streaming inference, and NVIDIA TensorRT.

🏝️ Benefits

• All employees enjoy complimentary benefits (including our renowned games room, daily breakfast, fruits, coffee and other hot beverages, soft drinks and juices, company outings, and parties).

• Social insurance coverage.

• Open-door management approach.

• Comprehensive medical insurance.

• Accommodation and transportation allowances.

• A welcoming environment that encourages innovation and efficiency.

• Exciting prospects for career advancement and talent development.

• Encouragement for feedback.

• Recognition and rewards programs.

• Competitive salaries and incentives.

• A friendly work atmosphere.

• Flexible and comfortable working schedule.

• Engaging committees.

• Monetary rewards.

• A team of fun, intelligent, and creative individuals.

• Career opportunities within a growing team.

• Paid vacation days.

• Social benefits.