Machine Learning Engineer, SoundHound
Restaurants
+ Equity
3 days a week in office
Conversational AI platform
Be an early applicant
Conversational AI platform
201-500 employees
Be an early applicant
+ Equity
3 days a week in office
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 very strong python coding skills, are up-to-date with the latest standards and are advocate of best practices
- You have regularly worked with spark/pyspark and other big data tools, have worked as a data scientist, ML engineer or similar
- You have built complex data pipelines to support machine learning products
- You are a critical thinker and data driven with a strong sense of ownership that you employ to ensure customer success
- You have a strong sense of the bottomline, you thrive on building synergies and delivering value to customers and coworkers
Desirable
- Are knowledgeable on ASR and particularly Language Modeling and end-to-end systems
- Are proficient in cloud technologies such as kubernetes, docker, vault, terraform
- Have experience with distributed systems
- Have worked on generative AI and data generation
- Are a DB and data management wizard
What the job involves
- This position presents a unique opportunity to touch on all the knobs that allow our industry grade ASR products to be made, and join an environment buzzing with opportunities to build synergies, and do heavy lifting in the wake of the recent mergers
- Work with a team of ML engineers to debug, train (pyspark, pytorch, kubernetes), and benchmark ASR models (LM and end-to-end), and work on automating those steps out
- Attend to a portfolio of products and key accounts, by monitoring ASR performance, seeking out issues and solving them
- Develop tools around automation and data engineering to streamline our processes and help with the scalability needs arising from the recent merges
- Develop tools to improve our model diagnostics abilities
- Communicate at least weekly with key stakeholders around ASR performance, and the resolution of ongoing issues
- Engineer data pipelines to support our portfolio of ASR products
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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