We're Hiring: ML Engineer (Audio Signal Processing) 🎶

durai: <p>Hello team,</p>
<p>We’re looking for a <strong>Machine Learning Engineer</strong> with a strong background in <strong>audio signal processing</strong> to join our team on an exciting project focused on <strong>real-time live concert audio enhancement</strong>. <img src="https://discuss.pytorch.org/images/emoji/apple/headphone.png?v=14" title=":headphone:" class="emoji" alt=":headphone:" loading="lazy" width="20" height="20"><img src="https://discuss.pytorch.org/images/emoji/apple/musical_notes.png?v=14" title=":musical_notes:" class="emoji" alt=":musical_notes:" loading="lazy" width="20" height="20"></p>
<p>This role involves selecting the best track from multiple sources, reducing noise, and improving audio quality for live streaming. If foundation models aren’t available, you should be comfortable building custom ML models from scratch.</p>
<p><img src="https://discuss.pytorch.org/images/emoji/apple/wrench.png?v=14" title=":wrench:" class="emoji" alt=":wrench:" loading="lazy" width="20" height="20"> <strong>Key Responsibilities</strong><br>
• Build ML models for audio enhancement &amp; source selection<br>
• Design low-latency inference pipelines for real-time use<br>
• Feature extraction using STFT, Mel Spectrograms, Wavelets<br>
• Optimize models for streaming performance<br>
• Work with Python, PyTorch/TensorFlow, AWS (S3, Lambda, IVS, SageMaker)<br>
• Apply latest research (e.g., arXiv:2408.17434)<br>
• Collaborate with audio engineers &amp; streaming teams</p>
<p><img src="https://discuss.pytorch.org/images/emoji/apple/white_check_mark.png?v=14" title=":white_check_mark:" class="emoji" alt=":white_check_mark:" loading="lazy" width="20" height="20"> <strong>Requirements</strong><br>
• Proven deep learning + audio signal processing experience<br>
• Real-time, low-latency audio processing knowledge<br>
• Strong Python + PyTorch/TensorFlow skills<br>
• Familiarity with live-streaming &amp; multi-source mixing<br>
• Understanding of reverberation, spectral analysis, audio quality<br>
• Bonus: Multi-mic, spatial audio, adaptive filtering, music production exposure</p>
<p><img src="https://discuss.pytorch.org/images/emoji/apple/globe_showing_europe_africa.png?v=14" title=":globe_showing_europe_africa:" class="emoji" alt=":globe_showing_europe_africa:" loading="lazy" width="20" height="20"> <strong>Location:</strong> Remote<br>
<img src="https://discuss.pytorch.org/images/emoji/apple/briefcase.png?v=14" title=":briefcase:" class="emoji" alt=":briefcase:" loading="lazy" width="20" height="20"> <strong>Type:</strong> Freelance<br>
<img src="https://discuss.pytorch.org/images/emoji/apple/paperclip.png?v=14" title=":paperclip:" class="emoji" alt=":paperclip:" loading="lazy" width="20" height="20"> <strong>Attachments:</strong> Share your GitHub, portfolio, or research links if available</p>
<p><img src="https://discuss.pytorch.org/images/emoji/apple/open_mailbox_with_raised_flag.png?v=14" title=":open_mailbox_with_raised_flag:" class="emoji" alt=":open_mailbox_with_raised_flag:" loading="lazy" width="20" height="20"> If interested, reach out via DM or email <strong><a href="mailto:duraimurugan.i@meyicloud.com">duraimurugan.i@meyicloud.com</a></strong></p>
<p><img src="https://discuss.pytorch.org/images/emoji/apple/folded_hands.png?v=14" title=":folded_hands:" class="emoji" alt=":folded_hands:" loading="lazy" width="20" height="20"> <strong>Please refer someone you know</strong> or share this in any relevant communities. Let’s push the boundaries of live audio with ML! <img src="https://discuss.pytorch.org/images/emoji/apple/rocket.png?v=14" title=":rocket:" class="emoji" alt=":rocket:" loading="lazy" width="20" height="20"></p>