Full-Time

Senior Machine Learning Engineer

Large Language Models

Confirmed live in the last 24 hours

SoundHound AI

SoundHound AI

201-500 employees

Voice AI platform for conversational experiences

Automotive & Transportation
AI & Machine Learning

Senior

Toronto, ON, Canada

Employees within a 100-kilometer radius of Toronto must work in-office for three core days each month.

Category
Conversational AI & Chatbots
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Natural Language Processing (NLP)
Requirements
  • Masters or Ph.D. in Computer Science
  • At least three years of relevant, full-time industry experience
  • Proven expertise in impactful research and development in Generative AI
  • Highly proficient in deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Experience with large-scale model training
  • In-depth knowledge of natural language processing (NLP) techniques
  • Strong programming skills in Python
  • Ability to tackle complex challenges and develop innovative solutions in conversational AI
  • Excellent teamwork and communication skills
  • Passion for staying at the forefront of AI research
Responsibilities
  • 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.

SoundHound provides conversational intelligence solutions through its independent voice AI platform. This platform uses unique technologies called Speech-to-Meaning and Deep Meaning Understanding to facilitate fast and accurate voice interactions, allowing users to engage with products and services in a natural way. The company works with a wide range of clients, including well-known brands like Hyundai, Mercedes-Benz, and Netflix, by licensing its voice AI technology to them. This approach generates revenue through long-term contracts and usage-based fees. SoundHound stands out from its competitors by focusing on delivering superior conversational experiences across various industries, including automotive and consumer electronics, where advanced voice AI capabilities are increasingly important.

Company Stage

IPO

Total Funding

$317.1M

Headquarters

Santa Clara, California

Founded

2005

Growth & Insights
Headcount

6 month growth

9%

1 year growth

18%

2 year growth

-16%
Simplify Jobs

Simplify's Take

What believers are saying

  • SoundHound's expansion into healthcare and finance diversifies its revenue streams.
  • The company reported an 89% year-over-year revenue increase in Q3 2023.
  • SoundHound's technology adoption by top QSRs indicates growing market demand.

What critics are saying

  • Competition from tech giants like Google and Amazon threatens market share.
  • Economic downturns could impact contract security in automotive and electronics sectors.
  • Reliance on a few large clients poses revenue risks if they switch providers.

What makes SoundHound AI unique

  • SoundHound's Speech-to-Meaning technology ensures high-speed, accurate voice interactions.
  • The company offers an independent voice AI platform for diverse industries.
  • SoundHound's custom Brand ID tool enhances personalized voice AI solutions for automotive partners.

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