UPCOMING: Principal Software Engineer, Wake-up Phrase

Posted 15 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
Expert/Leader
Natural Language Processing • Software • Conversational AI
The Role
The Principal Software Engineer will lead innovative research and development of wake word and automatic speech recognition solutions. Responsibilities include developing algorithms, training large-scale models, mentoring junior staff, and collaborating with cross-functional teams to enhance voice AI technologies.
Summary Generated by Built In

This job is opening soon. We invite you to express your interest ahead of time so that our recruiting team can begin reviewing your background.

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.

We are looking for a Principal Machine Learning Engineer to join our core speech technology team. You will lead efforts to research and develop production-ready wake word and automatic speech recognition solutions. You will excel in a challenging, algorithm-driven, and hands-on environment. You will continuously innovate and refine the architecture of vital systems. You will collaborate with engineers, researchers and voice AI practitioners in the field to help enable various voice AI products for customers across different industries using SoundHound state-of-the-art ASR technologies. You will have opportunities to apply your knowledge and experience in both software engineering and machine learning to solve real-world voice AI problems and deliver values directly to SoundHound customers. 

In this role, you will:

  • Lead innovation and advancements in the core architecture of Automatic Speech Recognition (ASR) and wake word technologies.
  • Spearhead cutting-edge research in Machine Learning (ML), focusing on wake word, ASR, natural language understanding, dialogue generation, and context-aware conversational systems.
  • Develop novel algorithms and models to improve the performance and intelligence of our wake word product and ASR solutions.
  • Train and optimize large-scale deep learning models for ASR and wake word products.
  • Collaborate with cross-functional teams, including machine learning engineers, software engineers, and product managers, to transform research insights into real-world solutions.
  • Mentor and guide junior researchers and engineers, promoting a culture of continuous learning and innovation.
  • Stay up-to-date with the latest advancements in ASR and ML, driving the continuous improvement of our technology stack.

We would love to hear from you if:

  • You have a Ph.D. in Computer Science with at least 8 years of relevant, hands-on industry experience, or have a Master’s degree with 12 years of relevant, hands-on industry experience plus
  • You have proven track record of impactful research and development in Machine Learning and ASR, with a portfolio of publications and projects that showcase your expertise.
  • You are highly skilled in deep learning frameworks (e.g., TensorFlow, PyTorch) and experienced in training large-scale models.
  • You have strong programming abilities in Python and C++, enabling you to implement and optimize ASR models effectively.
  • You are adept at solving complex problems and developing innovative solutions in conversational AI.
  • You are passionate about staying at the cutting edge of AI research and are driven to push the boundaries of what's possible in conversational AI.
  • You are excellent in teamwork and communication, collaborating seamlessly with cross-functional teams.

 This role is available in Bengaluru, India. Our recruiting team will provide a total compensation 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 https://www.soundhound.com/careers. 

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 https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.

Come join our growing team and bring your unique voice to our mission!

 

#LI-PP1


Top Skills

C++
Python
The Company
HQ: Santa Clara, CA
345 Employees
On-site Workplace
Year Founded: 2005

What We Do

At SoundHound Inc., we believe every brand should have a voice. As the leading innovator of conversational technologies, we’re trusted by top brands around the globe. Houndify, our independent Voice AI platform, with 70,000+ users, allows brands to create custom voice assistants that deliver results with unprecedented speed and accuracy.

Our mission is to enable humans to interact with the things around them in the same way we interact with each other: by speaking naturally. We’re making that a reality through our SoundHound music discovery app and Hound voice assistant and through our strategic partnerships with brands like Mercedes-Benz, Hyundai, Deutsche Telekom, and Pandora. Today, our customized voice AI solutions allow people to talk to phones, cars, smart speakers, mobile apps, coffee machines, and every other part of the emerging ‘voice-first’ world.

Our diverse team of engineers, UX/UI designers, writers, data scientists and linguists are all passionate about creating a world with more conversations. With more than 14 years of expertise in voice technology, we have hundreds of millions of end users, and a worldwide team in six countries building solutions for a voice-first world.

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