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 an experienced software engineer to join our core speech technology team. You will collaborate with researchers and software engineers to ship our voice AI products to customers across various industries. Team projects include deep learning acoustic models, wake word detection, voice biometrics, and sound event detection.
Our team is mostly based in Europe (France and Germany), with some team members in the United States. We enjoy flexible working hours and a high level of ownership across our projects.
We are open to hiring remotely throughout Germany. Berlin-based employees have the added benefit of enjoying in-person collaboration at our office. Employees can choose between virtual, hybrid, and in-office workplace options.
In this role, you will:
Train acoustic models for our voice AI products
Build feature extraction tools and inference engines
Optimize training pipelines
Support our ASR architecture and cluster ecosystem
Guide junior teammates on projects and share best practices
We would love to hear from you if:
You graduated with a Master's degree in Computer Science
You have between 6 and 13 years of full-time software engineering experience
You are proficient in writing production-level Python code
You are proficient in Torch and other ML frameworks
You are keen on Kubernetes, Kubeflow, Docker, and other containerization technologies
You know how to write optimized code and leverage hardware for high-performance computing
You are adept in algorithms and data structures
You work synergistically with others, making the whole greater than the sum of its parts
We’d be incredibly excited if you have written C++ modules for Python, worked on embedded ML projects using TensorFlow Lite, and are familiar with distributed computing technologies like RabbitMQ, Redis, and ZeroMQ. Familiarity with real-time audio and signal processing is also a plus!
Here at SoundHound, diversity, equity, and inclusion 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.
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.
Employees enjoy comprehensive health care, paid time off, discounted fitness classes, and flexible working hours. Learn more about our philosophy, benefits, and culture at https://soundhound.com/careers/ .
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!
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