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python ml dsp ffmpeg asr📋 Description
- Identify and fix audio artifacts, loudness, and sibilance in large-scale data.
- Design and implement scalable audio pipelines for voice data.
- Define and apply EQ, compression, de-essing, and normalization across recordings.
- Optimize audio quality for real and synthetic voices across use cases.
- Lead on-site voice actor recording decisions (microphones, placement, gain).
- Convert manual audio workflows into automated, code-based systems.
🎯 Requirements
- Professional audio engineering experience (studio, podcast, radio, live sound).
- Deep understanding of EQ, compression, limiting, de-essing, mastering.
- Proficiency with Logic Pro, Pro Tools, or Adobe Audition.
- Hands-on experience with FFmpeg and command-line tools.
- Knowledge of mic techniques and acoustic principles.
- Strong ear for subtle audio differences across voices/environments.
🎁 Benefits
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Unlimited PTO
- Generous parental leave
- 401(k) with company match
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