Staff Applied Audio Research Engineer

Gladia builds best-in-class speech AI tools for businesses, serving over 150,000 users and 700 enterprise clients with speech recognition in 100+ languages.
Machine Learning
Staff Software Engineer
Hybrid
51 - 100 Employees
8+ years of experience
AI

Description For Staff Applied Audio Research Engineer

Gladia, founded in 2022, is a rapidly growing speech AI company headquartered in Paris and New York City. With over 150,000 users and 700 enterprise clients, they're revolutionizing speech recognition technology across 100+ languages. Recently securing $16M in Series A funding from prestigious investors like Sequoia Capital, New Wave, and XAnge, they're at the forefront of AI audio infrastructure development.

The Staff Applied Audio Research Engineer role represents a unique opportunity to lead next-generation audio model development. This position combines applied research, model engineering, and production-grade ML implementation. The ideal candidate will drive innovation in speech recognition, working with cutting-edge technologies and architectures while optimizing for real-world performance.

The role demands expertise in audio ML, deep learning, and system-level optimization. You'll be responsible for the complete lifecycle of audio models, from architecture exploration to production deployment. The position offers the chance to work with state-of-the-art tools and frameworks while contributing to open-source projects and mentoring team members.

Working at Gladia means joining a collaborative, fast-paced environment where creativity and innovation are valued. The company offers attractive benefits, including flexible work arrangements, comprehensive health coverage, and professional development opportunities. This is an excellent opportunity for experienced engineers passionate about audio AI and eager to make a significant impact in the field.

Last updated 8 hours ago

Responsibilities For Staff Applied Audio Research Engineer

  • Research, train, and optimize models for ASR, segmentation, diarization, VAD, enhancement
  • Explore and benchmark architectures with focus on latency, memory, and streaming constraints
  • Drive the end-to-end lifecycle of audio models
  • Drive improvements in latency, throughput, and accuracy
  • Improve runtime performance through quantization, pruning, fusion, batching strategies
  • Collaborate with Infra, Dev and Product teams
  • Maintain technical watch and benchmark state-of-the-art methods
  • Mentor other researchers or engineers and contribute to R&D direction

Requirements For Staff Applied Audio Research Engineer

Python
Rust
Go
  • 8-10+ years of experience in audio ML, applied research, or deep learning engineering
  • Strong expertise in Python and a low-level language (C++, Rust, or Go)
  • Experience with ASR toolkits (Kaldi, ESPnet, Fairseq, OpenAI Whisper)
  • Hands-on experience with inference frameworks (ONNX, TorchScript, TensorRT, Triton Inference Server)
  • Experience with multi-GPU training, DDP, mixed precision, large datasets
  • Strong background in digital signal and model compression techniques
  • Experience in open-source-first environments
  • Expertise in audio-specific architectures: RNNT, Seq2Seq, Conformers, Transducers

Benefits For Staff Applied Audio Research Engineer

Medical Insurance
Vision Insurance
Dental Insurance
  • Full remote policy with team gathering in Paris every 1.5 months
  • Lunch vouchers (approx. 200€/month)
  • Sports activities allowance of 360 euros/year
  • Workstation adaptation allowance of 300 euros
  • Health insurance (100% coverage) with Alan Blue for you & family
  • Unlimited vacation policy

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