Senior Machine Learning Engineer, Auto+

China·BeijingRemotefull-timesenior

Machine Learning EngineerData

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Quick Summary

Overview

The Opportunity SoundHound AI believes every person should be able to interact naturally with the products around them–by simply talking. With a global reach spanning two dozen languages,

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Machine Learning EngineerData

SoundHound AI believes every person should be able to interact naturally with the products around them–by simply talking. With a global reach spanning two dozen languages, we build Voice AI products with conversational intelligence for cars, restaurant ordering, and more, allowing our customers to extend their brand in new and meaningful ways.

We are looking for a senior software engineer to join our core speech technology team. You will collaborate with engineers, researchers and voice AI practitioners in the field to help enable various voice AI products for customers across different industries using SoundHound state-of-the-art ASR technologies. You will have opportunities to apply your knowledge and experience in both software engineering and machine learning to solve real-world voice AI problems and deliver values directly to SoundHound customers.

Please note: the initial stage of the interview process entails an online evaluation, followed by a recruiter screening.

Responsibilities

~1 min read

→Train, tune and test state-of-the-art ASR models for different languages for all SoundHound voice AI products using machine learning and deep learning techniques
→Collaborate with cross-functional teams to ensure seamless integration of ASR technologies into SoundHound products
→Run benchmarks to monitor performance of ASR solutions and optimize ASR models for accuracy, efficiency and scalability across various platforms and applications
→Provide customized ASR solutions to meet any customer-specific or product-specific ASR challenges
→Triage and troubleshoot customer-related ASR issues and provide timely solutions
→Work independently and lead technical initiatives to plan, design and create new tools and features to enhance SoundHound ASR technologies
→Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization

You have a Bachelor's degree in Computer Science, Electrical Engineering or other relevant disciplines with 8 years of full-time work experience, or a Master’s degree with 6 years of full-time work experience
You have experience with automatic speech recognition, keyword detection or natural language understanding
You have good understanding of deep learning and neural networks fundamentals, and are proficient in deep learning frameworks
You are proficient in writing production-level Python code
You have experience with Kubernetes, Docker, and other containerization technologies in cloud service environment
You have experience mentoring junior engineers and leading technical initiatives

We’d be incredibly excited if you have experience with Kaldi, PyTorch and TensorFlow, have worked on projects enabling on-device models using TensorFlow Lite, have knowledge of the end-to-end ASR pipeline, have experience developing, tuning, deploying and maintaining ASR models, have knowledge of NLP techniques related to ASR, and have experience working with customers. Proficiency in writing production-level C++ code is also a plus!