Audio Engineer - Remote Eligible

Advanced Analytics Solutions Engineer

Digital Signal Processing (DSP) & Applied Acoustics • Deep understanding of audio codecs, compression artifacts, bitrates, and sampling theory. • Ability to apply noise reduction, voice activity detection (VAD), preamble trimming, and channel separation at scale.

Speaker Diarization & Voice Printing • Experience with clustering, similarity measures, and handling overlapping speech.

Command-Line Audio Processing & Shell Scripting • Skilled in tools such as ffmpeg, sox, aubio, and integrating scripts into data pipelines.

Soft skills/Environmental considerations • Prior experience building scalable, high-volume audio processing solutions • The recordings / audio data is received from 3rd party telecom providers that send the data in a wide range of formats. i.e. stereo, mono, etc… • Must be a collaborative and adaptable problem-solver, who is comfortable working in remote, distributed environments. • Strong documentation and reproducibility mindset.

Description Our client is a leading provider of advanced analytics solutions for the public safety sector. They process and analyze large volumes of recorded audio data to support investigations and improve operational efficiency. This role focuses on enhancing audio quality and enabling voice biometrics at scale. Measuring your success will be results-driven—quality of audio improvements and success in enabling voice biometrics.

Job Responsibilities: • Design and build solutions to improve audio quality of call recordings to enable accurate voice biometrics, at scale. • Apply DSP techniques for noise reduction, voice activity detection, and channel separation. • Develop and integrate audio processing scripts into scalable data pipelines. • Collaborate with ML team to optimize audio for embedding generation.

Technical Environment: • Tools: AWS, ffmpeg for audio processing, Amazon Transcribe • Audio formats: MP3, FLAC; stereo and mono recordings. • Data pipelines integrated with AWS services for transcription and analytics.

Work Environment: • Remote-first team with flexible hours (core overlap 11 AM – 5 PM ET). • Collaborative, blame-free culture with strong support for innovation.

Skills Digital Signal Processing, Applied Acoustics, voice transcription, codec, sampling theory, noise reduction, voice activity detection, VAD, DSP, voice printing, speaker diarization, speaker diarisation, command-line scripting, shell, ffmpeg, data pipelines, mp3, FLAC, overlapping speech, voice data, audio recording, embeddings, Python, Machine learning, Artificial intelligence, librosa, pyannote, torchaudio, AWS Transcribe, AWS, cloud audio processing, devops, cloud integration, bash scripting

Top Skills Details Digital Signal Processing, Applied Acoustics, voice transcription, codec, sampling theory ,noise reduction, voice activity detection, VAD, DSP, voice printing, speaker diarization, speaker diarisation, command-line scripting, shell, ffmpeg, data pipelines,mp3,FLAC,over

Additional Skills & Qualifications Experience with Python DSP/ML libraries (librosa, pyannote, torchaudio). Familiarity with cloud-based audio processing and integration.

Experience Level Entry Level Job Type & Location This is a Contract position based out of Austin, TX.

Pay and Benefits The pay range for this position is $50.00 - $65.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Dec 3, 2025.