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Staff Applied Audio Research Engineer @Gladia

[Hiring] Staff Applied Audio Research Engineer @Gladia

Apr 02, 2025 - Gladia is hiring a remote Staff Applied Audio Research Engineer. 💸 Salary: unspecified. 📍Location: France.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are hiring a Staff Applied Audio Research Engineer to lead the development of next-generation audio models and processing pipelines at Gladia — from architecture exploration and model training to large-scale deployment. This role sits at the intersection of applied research, model engineering, and production-grade ML. It requires deep audio expertise, an experimental mindset, and hands-on experience bringing advanced models into real-world production environments.

  • Research, train, and optimize models for ASR, segmentation, diarization, VAD, enhancement, etc.
  • Explore and benchmark architectures such as Seq2Seq, RNNT, Transducers, Conformers, with strong attention to latency, memory, and streaming constraints.
  • Drive the end-to-end lifecycle of audio models: data pipelines, training, evaluation, deployment.
  • Drive improvements in latency, throughput, and accuracy.
  • Improve runtime performance through quantization, pruning, fusion, batching strategies, etc.
  • Collaborate with Infra, Dev and Product teams to ship robust, scalable audio ML features and influence architectural decisions across the stack, from model design to deployment.
  • Maintain a structured technical watch, benchmark state-of-the-art methods, identify strategic opportunities.
  • Leverage signal processing knowledge to improve feature extraction and system robustness.
  • Mentor other researchers or engineers and contribute to Gladia’s R&D direction.

Qualifications

  • 8 - 10+ years of experience in audio ML, applied research, or deep learning engineering with a focus on high-performance inference systems.
  • Strong expertise in Python and a low-level language such as C++, Rust, or Go.
  • Proven experience training and deploying deep learning models for audio or speech and deep understanding of system-level performance optimization.
  • Excellent command of audio-specific architectures: RNNT, Seq2Seq, Conformers, Transducers…
  • Experience with ASR toolkits (e.g., Kaldi, ESPnet, Fairseq, OpenAI Whisper).
  • Hands-on experience with inference frameworks like ONNX, TorchScript, TensorRT, or Triton Inference Server.
  • Hands-on experience with training at scale (multi-GPU, DDP, mixed precision, large datasets).
  • Experience optimizing inference performance in production environments (latency, memory, CPU/GPU targets) and strong grasp of GPU architecture, CUDA programming, and latency/memory optimization.
  • Experience in open-source-first environments.
  • Strong background in digital signal and familiarity with model compression techniques and batching strategies.
  • Comfortable working in a collaborative, fast-paced startup environment.

Requirements

  • Contributions to open-source inference projects: vLLM, Text Generation Inference (TGI), Triton Inference Server.

Benefits

  • Full remote policy with team gathering in Paris every 1.5 months or work from our amazing offices & rooftop in the heart of Paris (Sentier).
  • Lunch vouchers (approx. 200€/month).
  • An allowance of 360 euros/year for your sports activities.
  • An allowance of 300 euros for the adaptation of your workstation.
  • A health insurance (100% coverage) and a pension contract with Alan Blue for you & your family.
  • Unlimited vacation policy.

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📍 Be aware of the location restriction for this remote position: France
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Staff Applied Audio Research Engineer @Gladia
Software Development
Salary 💸 unspecified
Remote Location
France
Job Type full-time
Posted Apr 02, 2025
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📍 Be aware of the location restriction for this remote position: France
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