Principal Research Engineer
Generative AI
Updated on 2/6/2024
SoundHound AI

201-500 employees

Custom voice AI solutions for brand interaction
Company Overview
SoundHound AI is a pioneer in the realm of conversational intelligence, creating custom voice assistants that allow businesses to extend their brand in new, meaningful ways. Their proprietary Speech-to-Meaning® and Deep Meaning Understanding® technologies provide exceptional speed and accuracy, enabling natural human interaction with a wide range of products and services. Trusted by global companies such as Hyundai, Mercedes-Benz, and Netflix, SoundHound AI's independent voice AI platform is setting industry standards in delivering best-in-class conversational experiences.
AI & Machine Learning
Consumer Goods
Data & Analytics

Company Stage

N/A

Total Funding

$562M

Founded

2005

Headquarters

Santa Clara, California

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-17%

2 year growth

-17%
Locations
Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Requirements
  • Ph.D. in Computer Science
  • At least eight years of relevant, full-time industry experience
  • Proven expertise in impactful research and development in Generative AI
  • High proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch)
  • In-depth knowledge of natural language processing (NLP) techniques
  • Strong programming skills in Python
  • Ability to tackle complex challenges and develop innovative solutions in the field of conversational AI
  • Excellent teamwork and communication skills
  • Passion for staying at the forefront of AI research and a drive to push the boundaries of what's possible in conversational AI
Responsibilities
  • Lead and contribute to groundbreaking research 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 to integrate research findings into products and solutions
  • Provide mentorship and guidance to junior researchers and engineers
  • Stay up-to-date with the latest advancements in Generative AI and contribute to the continuous improvement of the technology stack
Desired Qualifications
  • Knowledge of reinforcement learning techniques for dialogue systems and conversational AI
  • Experience working on chatbots or virtual assistants
  • Experience at a conversational AI company
  • Contributions to open-source AI projects and communities