Senior Machine Learning Engineer, SoundHound

• SoundHound AI believes every person should be able to interact naturally with the products around them–by simply talking
• You have a Bachelor's degree in Computer Science, Electrical Engineering, Math, Physics or other relevant disciplines with 8 years of full-time work experience, a Master’s degree with 6 years of work experience, or a PhD with 3 years of work experience
• You have experience in automatic speech recognition, natural language understanding, or other spoken language processing field. Especially, if you’ve worked with both end-to-end and hybrid ASR models
• You have good understanding of machine learning fundamentals, and are proficient in machine learning frameworks (pytorch in particular, but experience with xgboost and other frameworks is also welcome)
• You are proficient in writing Python code that is documented, well tested, packaged, and follows industry best practices. Experience with C++ is also appreciated
• You have experience with Kubernetes, Docker, and other containerization technologies in cloud service environment
• You have experience leading technical initiatives
• We’d be especially excited if your MSc/PhD thesis is about ASR, you have publications in relevant conferences (Interspeech/ICASSP/NeurIPS etc), or you have experience with on-device ASR (e.g. using TorchScript)

• In this role you’ll build models estimating confidence of automatic speech recognition (ASR). Among other things, confidence estimation is an important part of large scale automated labeling, ASR models arbitration, and robust low resource command recognition
• Besides confidence models, you will also improve various aspects of our ASR technology
• Work independently and lead technical initiatives to advance confidence models architecture
• Collaborate with cross-functional teams to support confidence models for a variety of ASR architectures, sizes, and languages
• Find novel ways to utilize confidence estimates
• Train, tune and test state-of-the-art ASR models for SoundHound voice AI products using machine learning and deep learning techniques

• Competitive Salary
• Team Events & Happy Hours
• Comprehensive Medical Insurance
• Employee Recognition
• Equity Plans
• Catered Lunches & Tasty Snacks

Total funding: $215m

The world is becoming ever more voice-enabled, and SoundHound have been working for over a decade on their voice AI and conversational intelligence technology to stay ahead. The applications for top tier tech of this sort are vast, from automotive innovation through to restaurant management, and SoundHound is firmly leading the pack.