Machine Learning Engineer, SoundHound
ASR
+ Equity
Conversational AI platform
Open for applications
Conversational AI platform
201-500 employees
Open for applications
+ Equity
201-500 employees
Company mission
To create a voice AI platform that exceeds human capabilities and brings value and delight via an ecosystem of billions of products enhanced by innovation and monetization opportunities.
Role
Who you are
- You have a Bachelor's degree in Computer Science, Electrical Engineering or other relevant disciplines with 5 years of full-time work experience, or a Master’s degree with 3 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
Desirable
- 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
- Have experience with Kubernetes, Docker, and other containerization technologies in cloud service environment, and have experience working with customers
- Proficiency in writing production-level C++ code is also a plus!
What the job involves
- We are looking for a 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
- 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
- Troubleshoot and resolve customer-related ASR issues in a timely manner
- Conduct data-driven proof-of-concept experiments and apply SoundHound ASR and ML technologies to real-world applications
Application process
- The initial stage of the interview process entails an online evaluation, followed by a recruiter screening
Our take
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.
SoundHound has developed products with unrivalled accuracy across nearly two dozen languages, giving them a real edge over Google and Amazon’s competing products. To consolidate this lead, the company also made a number of strategic, big-name partnerships to broaden their products’ uptake, with the likes of Tencent, Hyundai, Nvidia, and Samsung counted among them.
By keeping its products customizable and broadly applicable, SoundHound was successful in its IPO bid, which will cement its position globally as the sector continues to develop. Although taking a hit from the poor economic climate, alongside many of its fellows, the company has secured post-IPO funds. It paid off its post-IPO debt in 2024, making it lighter on its feet as it captures new markets and customers in the voice-enabled AI sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
May 2018
$100m
LATE VC
Jan 2017
$75m
SERIES D
Total funding: $215m
Company benefits
- Competitive Salary
- Team Events & Happy Hours
- Comprehensive Medical Insurance
- Employee Recognition
- Equity Plans
- Catered Lunches & Tasty Snacks
Company values
- Supportive - Supportive of Each Other. We believe working as a team produces the best results, harnessing diverse perspectives to maximize our chance at success. By following through on our commitments, we build confidence and trust. We can rely on each other rather than needing “heroes” to save the day.
- Open - Open, Honest, and Ethical, Even When It’s Hard. Solving problems requires us to ask tough questions and raise critical issues. If something isn’t working, we get honest feedback and input, taking accountability for success or failure. We embrace “radical candor” to get to the heart of a problem and do the right thing, even when it’s hard.
- Undaunted - Undaunted By Challenges and Obstacles. When faced with obstacles, we never give up. Instead, we dig deep to find creative solutions, make a decision, and execute. Our belief in our shared mission gives us purpose, confidence, and resolve. Ultimately, we find a way to win because failure is not an option.
- Nimble - Nimble, Focused, Fast – and Always Learning. In a world of constant change, we adapt and move with the appropriate urgency. This means choosing the best path versus trying to do it all. We embrace “scrappiness” because the winning solution is often the one that gives us an early advantage. We learn from mistakes and keep going.
- Determined - Determined to Excel and Win. Products built from the hearts and minds of users get adopted by them. We strengthen our insights through data and we grow our business by solving customer problems at scale. We take pride in creating excellent products that customers want over anything else.
Company HQ
Santa Clara, CA
Articles
Leadership
Keyvan Mohajer
(CEO )Having taken a PhD at Stanford, Keyvan worked as CTO of InsuranceHotline.com before founding ZumoSoftware, where they spent 4 years as CTO. They founded SoundHound in December 2004, while at Stanford, and have served since as President and CEO.
Majid Emami
(CSO & SVP of Engineering)After graduating Stanford University, they went onto co-found SoundHound as VP of Engineering, before becoming CSO and SVP of Engineering in 2022.
James Hom
(CPO)Having earned their Bachelor's Degree in Computer Science from Stanford University, they went onto co-found SoundHound. First, they lead all product development as VP of Products, before becoming CPO.
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