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Senior Machine Learning Engineer, Auto+

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Before you apply
LocationBeijing, China
Work moderemote
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentAutomotive+
Company size501–1,000 people
PostedOct 7, 2026 · 3w ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
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
Experience with automatic speech recognition, keyword detection or natural language understanding
Good understanding of deep learning and neural networks fundamentals, and proficient in deep learning frameworks
Proficient in writing production-level Python code
Experience with Kubernetes, Docker, and other containerization technologies in cloud service environment
Experience mentoring junior engineers and leading technical initiatives
Experience with Kaldi, PyTorch and TensorFlow
Worked on projects enabling on-device models using TensorFlow Lite
Knowledge of the end-to-end ASR pipeline
Experience developing, tuning, deploying and maintaining ASR models
Knowledge of NLP techniques related to ASR
Experience working with customers
Proficiency in writing production-level C++ code
Skills
Python
Kubernetes
Docker
Kaldi
PyTorch
TensorFlow
TensorFlow Lite
C++
Your Career, our Future—Together.
Ready to join something big? At SoundHound AI, we bring voice, generative, and conversational AI together to transform how people interact with products and services. From voice-enabled vehicles to food ordering and customer support, our multilingual, omnichannel technology already impacts hundreds of millions worldwide.
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, 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.
Hiring process
Please note: the initial stage of the interview process entails an online evaluation, followed by a recruiter screening.
What You’ll Do
•
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
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Provide customized ASR solutions to meet any customer-specific or product-specific ASR challenges
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Triage and troubleshoot customer-related ASR issues and provide timely solutions
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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
What You’ll Bring
•
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
Nice to have
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!
Workplace & Compensation
This role is available in China. Our recruiting team will provide a total compensation range based on location and years of experience.
Let’s Start the Conversation
Join SoundHound AI and collaborate with colleagues worldwide who are shaping the future of voice AI. Guided by our values—supportive, open, undaunted, nimble, and determined to win—we strive to build breakthrough AI experiences together.
Legal
We provide reasonable accommodations for individuals with disabilities throughout the hiring process and employment. To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.
Discover more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.
***Please beware of agency recruiters falsely stating that they represent SoundHound AI on job posts. Our job post above will note if we are utilizing a specific agency to assist with the search. Our recruiters use @soundhound.com email addresses exclusively.