Senior Machine Learning Engineer, SoundHound
Large Language Models, Research & Development
+ Equity
More information about location
3 days a week in office
Conversational AI platform
Open for applications
Conversational AI platform
201-500 employees
Open for applications
+ Equity
More information about location
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
- This role will require specific knowledge of LLM’s architecture, training, benchmarking, iterating, deploying, and optimizing in order to face open-ended problems
- Successful candidate will be able to understand the needs in Natural Language Processing (NLP), as well as, Natural Language Understanding (NLU) to build and deploy solutions satisfying those needs using LLMs
- You have a Masters or Ph.D. in Computer Science and at least three years of relevant, full-time industry experience
- You have proven expertise in impactful research and development in Generative AI, with relevant projects demonstrating your expertise
- You are highly proficient in deep learning frameworks (e.g., TensorFlow, PyTorch) and have experience with large-scale model training
- You have in-depth knowledge of natural language processing (NLP) techniques, including pre-trained language models, text generation, and dialogue systems
- You have strong programming skills in Python and can implement and optimize AI models
- You can tackle complex challenges and develop innovative solutions in the field of conversational AI
- You have excellent teamwork and communication skills, with the ability to work effectively with cross-functional teams
- You have a passion for staying at the forefront of AI research and a drive to push the boundaries of what's possible in conversational AI
What the job involves
- In this role, you will have the unique opportunity to use conversational AI to build and train Large Language Models (LLM) and solve real world problems within different domains, such as, automotive, restaurants, hospitality and smart devices
- Lead and contribute to cutting edge development in Generative AI, focusing on natural language understanding, dialogue generation, and context-aware conversational systems
- Develop novel algorithms and models for enhancing the performance and intelligence of our conversational AI platform
- Train and fine-tune large-scale deep learning models for natural language processing and dialogue generation
- Collaborate with cross-functional teams, including machine learning engineers, software developers, and product managers, to integrate research findings into our products and solutions
- Remain at the forefront of Generative AI advancements, actively contributing to the evolution and enhancement of our technological infrastructure
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
-29% employee growth in 12 months
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 HQ
Santa Clara, CA
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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