Staff Applied Audio Research Engineer - Remote

Overview

Gladia is seeking a Staff Applied Audio Research Engineer to lead the development of next-generation audio models and processing pipelines, focusing on applied research, model engineering, and production-grade machine learning.

In Short

• Lead the development of audio models and processing pipelines.
• Research, train, and optimize models for various audio tasks.
• Drive improvements in latency, throughput, and accuracy.
• Collaborate with teams to deploy scalable audio ML features.
• Mentor other researchers and contribute to R&D direction.
• Benchmark architectures and maintain technical watch.
• Explore audio-specific architectures such as RNNT and Seq2Seq.
• Improve runtime performance through optimization techniques.
• Hands-on experience with inference frameworks and training at scale.
• Work in a collaborative, fast-paced startup environment.

Requirements

• 8 - 10+ years of experience in audio ML or deep learning engineering.
• Strong expertise in Python and a low-level language (C++, Rust, or Go).
• Proven experience in training and deploying deep learning models.
• Excellent command of audio-specific architectures.
• Experience with ASR toolkits and inference frameworks.
• Hands-on experience with multi-GPU training and optimization.
• Strong grasp of GPU architecture and CUDA programming.
• Experience in open-source environments.
• Familiarity with model compression techniques.
• Comfortable in a collaborative startup environment.

Benefits

• Full remote policy with team gatherings in Paris.
• Lunch vouchers (approx. 200€/month).
• Allowance for sports activities (360 euros/year).
• Workstation adaptation allowance (300 euros).
• Health insurance and pension contract coverage.
• Unlimited vacation policy.