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Full-Time

Senior Software Engineer

Machine Learning, Asr, R&D

Posted on 6/27/2024

SoundHound AI

SoundHound AI

201-500 employees

Independent voice AI with conversational capabilities

AI & Machine Learning
Consumer Goods
Data & Analytics

Senior

Toronto, ON, Canada

Category
Backend Engineering
Security Engineering
Software QA & Testing
Software Engineering
Required Skills
Kubernetes
Python
Tensorflow
Docker
Natural Language Processing (NLP)
Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering or related field with 5 years of experience, or Master's degree with 3 years of experience
  • Experience in automatic speech recognition, keyword detection, or natural language understanding
  • Good understanding of deep learning and neural networks fundamentals
  • Proficiency in deep learning frameworks
  • Proficiency in writing production-level Python code
  • Experience with Kaldi, PyTorch, and TensorFlow is a plus
  • Experience enabling on-device models using TensorFlow Lite
  • Knowledge of end-to-end ASR pipeline
  • Experience developing, tuning, deploying, and maintaining ASR models
  • Knowledge of NLP techniques related to ASR
  • Experience with Kubernetes, Docker, and other containerization technologies in cloud service environment
  • Experience working with customers
  • Proficiency in writing production-level C++ code is a plus
Responsibilities
  • Train, tune, and test state-of-the-art ASR models for different languages using machine learning and deep learning techniques
  • Collaborate with cross-functional teams to integrate ASR technologies into products
  • Monitor and optimize ASR models for accuracy, efficiency, and scalability
  • Provide customized ASR solutions for customer-specific challenges
  • Troubleshoot and resolve customer-related ASR issues
  • Conduct data-driven experiments and apply ASR and ML technologies to real-world applications

SoundHound offers an independent voice AI platform with advanced conversational AI, including custom AI-powered voice assistants, wake word technology, automatic speech recognition, natural language understanding, and text-to-speech capabilities. These technologies enable businesses to create natural and meaningful interactions with their customers, trusted by global brands such as Hyundai, Mercedes-Benz, Pandora, Qualcomm, Netflix, and Snap.

Company Stage

IPO

Total Funding

$562M

Headquarters

Santa Clara, California

Founded

2005

Growth & Insights
Headcount

6 month growth

9%

1 year growth

4%

2 year growth

-23%