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.
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.
This role will require specific knowledge of LLM’s architecture, training, benchmarking, iterating, deploying, and optimizing in order to face open-ended problems.
A 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.
The current team consists of 9 members, spread across US, Canada, Paris and Korea.
In this role, you will :
- 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.
We would love to hear from you if :
- 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
We’d be especially excited if you have knowledge of reinforcement learning techniques for dialogue systems and conversational AI, have experience working on chatbots or virtual assistants, and have worked at a conversational AI company.
Also, please let us know if you have contributed to open-source AI projects and communities!
This role is available throughout Canada. Employees within a 100-kilometer radius of our Toronto office are expected to work from the office on three pre-scheduled core days each month to encourage cross-team connection and in-person collaboration.
Aside from these office-specific core days, this job allows for virtual / remote, hybrid, and in-office workplace setting options.
In addition to salary and equity, you will receive comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience.
SoundHound AI strives to be a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win.
Diversity, equity, inclusion, and belonging are key to who we are as a company. With a mission to build Voice AI for the world, creating a team with global perspectives is critical to our success.
Learn more about our philosophy, benefits, and culture at .
We care deeply about fostering an environment where everyone is supported and can do their best work. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits.
To view our job applicant privacy policy, please visit .
Come join our growing team and bring your unique voice to our mission!
LI-ST1
LI-REMOTE
Machine Learning Kernels Engineer
Engineer to join a well-established and funded startup who are developing a ground-breaking at-memory AI chip architecture. Collaborate with architects and compiler engineers to create performance optimizations for future generations. ...
Senior Machine Learning Engineer (Remote)
As a Senior ML engineer, you will have the opportunity to foster theseconnections across millions of users and businesses using state of the artmethods such as neural networks (NNs) and large language models (LLMs). Support the development and deployment of projects involving machinelearned models f...
Machine Learning System Engineer
Nous utilisons des témoins pour fournir et améliorer nos services de sorte à vous offrir une expérience plus personnalisée, et les services de suivi sont désactivés.Pour en savoir plus sur les témoins utilisés et pour consulter vos préférences, veuillez vérifier les paramètres de votre navigateur ou...
Staff Machine Learning Engineer
We are seeking an experienced Machine Learning Engineer to join our foundational Vancouver office and help lead engineering efforts within our Science team. Work closely in our research team to rapidly prototype and iterate on novel machine learning models. Strong foundation in machine learning and ...
Machine Learning Engineer II, Ads Marketplace
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets. You will use machine learning to devise ...
Machine Learning Engineer II
We're looking for mid level machine learning engineers who have a strong foundational understanding of ML concepts to join our team. You will collaborate with Staff Machine Learning Engineers and Product Managers to influence features and projects . Design, develop, test, and deploy machine learning...
Machine Learning Engineer II
Design and implement systems that combine rules, models, feature engineering, and business and product inputs into an email detection product, with senior engineer guidance. Abnormal Security is looking for a Machine Learning Engineer to join the Message Detection - Attack Detection team. The Machin...
Senior Data Scientist / Machine Learning Engineer - Search, Personalization, Ads
Search: Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs). Our experienced data scientists and machine learning engineers are ...
Machine Learning Engineer (6 month contract)
Your expertise in Machine Learning isn't just about models and algorithms; it's about driving tangible, user-centric solutions. You have read papers on machine learning topics and implemented your own versions of the papers. You thrive when you're pushing the boundaries of what Machine Learning can ...
Artificial Intelligence / Machine Learning Computer Scientist/Engineer role
Title: Artificial Intelligence / Machine Learning Computer Scientist/Engineer role. Machine Learning Algorithms and Techniques: Supervised, Unsupervised, and reinforced learning algorithms. The focus will be on algorithms, models, and solutions for large data sets, enabling intelligent, automated ap...