🛠 Tech Stack

💼 About This Role

You'll design and improve production ASR and audio ML systems for a real-time contact center platform. Your core impact will be optimizing speech pipelines for accuracy, latency, and reliability. This role stands out for its focus on real-world telephony audio and end-to-end ML ownership.

🎯 What You'll Do

• Design and improve ASR and audio ML systems for production.
• Develop signal processing pipelines for noisy telephony audio.
• Train, fine-tune, and deploy models for ASR and audio classification.
• Optimize inference for latency, throughput, and cost.

📋 Requirements

• At least 5 years of hands-on ASR deployment experience.
• Strong background in signal processing or speech recognition.
• Experience with production ASR systems and streaming inference.
• Proficient in Python and frameworks like PyTorch or TensorFlow.

✨ Nice to Have

• Experience with real-time ASR or telephony systems.
• Experience with Whisper, NeMo, or transformer-based ASR.
• Experience optimizing inference with ONNX or TensorRT.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health insurance
• 💻 Remote work
• 📈 Stock options
• 📚 Learning budget

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Screening call with Frontier· 30 min
2. 2Technical interview· 60 min
3. 3Client interview· 60 min