Senior Software Engineer, Machine Learning (ASR), Automotive

Key Skills

Aartificial intelligence, Deep Learning, Docker, Kubernetes-K8s, Machine learning techniques, Planning and organization, Python Programming

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.

We are looking for a senior software engineer to join our core speech technology team. 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.

Please note: the initial stage of the interview process entails an online evaluation, followed by a recruiter screening.

In this role, you will:

• Train, tune and test state-of-the-art ASR models for different languages for all SoundHound voice AI products using machine learning and deep learning techniques
• Collaborate with cross-functional teams to ensure seamless integration of ASR technologies into SoundHound products
• Run benchmarks to monitor performance of ASR solutions and optimize ASR models for accuracy, efficiency and scalability across various platforms and applications
• Provide customized ASR solutions to meet any customer-specific or product-specific ASR challenges
• Triage and troubleshoot customer-related ASR issues and provide timely solutions
• Work independently and lead technical initiatives to plan, design and create new tools and features to enhance SoundHound ASR technologies
• Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization

We would love to hear from you if:

• You have a Bachelor's degree in Computer Science, Electrical Engineering or other relevant disciplines with 8 years of full-time work experience, or a Master’s degree with 6 years of full-time work experience
• You have experience with automatic speech recognition, keyword detection or natural language understanding
• You have good understanding of deep learning and neural networks fundamentals, and are proficient in deep learning frameworks
• You are proficient in writing production-level Python code
• You have experience with Kubernetes, Docker, and other containerization technologies in cloud service environment
• You have experience mentoring junior engineers and leading technical initiatives

We’d be incredibly excited if you have experience with Kaldi, PyTorch and TensorFlow, have worked on projects enabling on-device models using TensorFlow Lite, have knowledge of the end-to-end ASR pipeline, have experience developing, tuning, deploying and maintaining ASR models, have knowledge of NLP techniques related to ASR, and have experience working with customers. Proficiency in writing production-level C++ code is also a plus!

This role is available throughout Germany. Employees within a 100-kilometer radius of our Berlin 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 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.