Senior Machine Learning Engineer, Large Language Models, R&D

SoundHound AI
Toronto, ON, Canada
Full-time
We are sorry. The job offer you are looking for is no longer available.

Job Description

Job Description

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 10 members, spread across the United States, Canada 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-HYBRID

LI-ST1

8 hours ago
Related jobs
Extreme Networks
Toronto, Ontario

Developing innovative machine learning models for network optimization, prediction, and troubleshooting. We are seeking a versatile and innovative Machine Learning Scientist to join our Core Modelling Team. Transform validated models into modular features, ensuring they meet the set engineering crit...

Tali AI
Toronto, Ontario

Tali AI is looking for a Senior Machine Learning Engineer to play a crucial role in advancing our capabilities in understanding, processing and generating natural language, as well as improving the accuracy and efficiency of our speech recognition systems. Who You Are: You have a degree in Computer ...

0017 eBay Canada Technology
Toronto, Ontario

Experience with big data pipelines (Hadoop, Spark), AI applied research, industrial recommendation systems, Large Language Models (LLMs) and prompt engineering is a plus. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized reco...

Amazon
Toronto, Ontario

The team is looking for a Senior Machine Learning Engineer (MLE) to lead the design of our Machine Learning infrastructure, and to build the technical foundation to facilitate science innovation and improve the team's productivity. The successful candidate will work closely with Applied Scientists o...

Faire
Canada

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 ...

Stripe
Toronto, Ontario

As a machine learning engineer, you will design and build platforms and services that are configurable and scalable. At least 5 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production. We are developing cutting edge deep learning m...

Robinhood
Toronto, Ontario

In your role as a Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies. Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accura...

Astra North Infoteck Inc.
Toronto, Ontario

Google Cloud, Data Warehouse, Data Engineering,. Experience in data modelling, manipulating large data sets and handling raw SQL, and handling other cleaning techniques. Have prior experience with data developer, data engineering, programming, ETL, ELT, processes for data integration. ...

Mozilla
Toronto, Ontario
Remote

Staff Machine Learning Engineer, Fakespot. Develop and finetune machine learning models for tasks such as entity recognition, classification, and text generation. A minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientist. ...

CPP Investments
Toronto, Ontario

As a Machine Learning Engineer, you'll be a key player in our data-driven initiatives, shaping the future of investment decision-making with innovative approaches. Our recent focus has been on driving critical decisions throughout the investing lifecycle, including capital allocation and security se...