Auf einen Blick
- Aufgaben: Collect and analyze audio datasets for machine learning training and evaluation.
- Arbeitgeber: Join ai|coustics, a Berlin startup revolutionizing Generative Audio AI technology.
- Mitarbeitervorteile: Enjoy competitive pay, stock options, and learning opportunities in a dynamic startup culture.
- Warum dieser Job: Shape the future of audio tech while working with passionate experts in an innovative environment.
- Gewünschte Qualifikationen: Deep understanding of audio processing, proficiency in Python, and a solid math background required.
- Andere Informationen: Ideal start date is January 15, 2025; be part of a groundbreaking team!
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
ai|coustics is a Berlin-based startup pioneering Generative Audio AI technology for speech enhancement. We’re on a mission to redefine the way people experience speech quality and intelligibility in real-time communication and media content by providing solutions to our millions of people across various verticals, including TVs, Soundbars, Headphones, Hearing Devices, Broadcasting, Streaming, and more. Our unique approach takes us beyond simple noise suppression, creating a listening experience that is unmatched in the industry. If you’re passionate about technology and thrive in an innovative work environment, then join us at ai|coustics and play a pivotal role in shaping the future of audio technology.
The ideal start date for this position is January 15, 2025.
Tasks
- Collect, process, manage, and analyze large-scale audio datasets for ML training and evaluation.
- Design, maintain, and continuously improve data augmentation pipelines.
- Develop and enhance tools and protocols for perceptual and quantitative evaluation.
- Stay up-to-date on current research related to your role (e.g., non-intrusive and perceptual speech metrics, open-source datasets, pre-trained audio ML models).
- Serve as the primary expert on all things data, sharing your knowledge and providing context to the team.
Requirements
You are an audio and speech expert:
- You have a deep understanding of audio processing, psychoacoustics, and the audio signal chain
- You know how to measure audio and speech quality quantitatively
- You are an expert listener, and you can confidently identify common audio and speech artifacts and distortions
You are a skilled engineer:
- You are proficient in Python and write clean, well-documented, and maintainable code
- You are familiar with modern software development tools and workflows
- You know how to use standard audio processing tools e.g. (ffmpeg, librosa), and you understand and can quickly integrate ML-based audio tools
- You have a solid understanding of data structures and algorithms, and you know your way around modern data bases and common cloud platforms
You have a solid math and machine learning background:
- You have a deep mathematical understanding of digital signal processing
- You have a solid understanding of modern machine learning concepts, in particular neural networks.
- You are well versed in exploratory data analysis
- You are up to date with the scientific literature, understand new concepts quickly and can gauge the usefulness of approaches and tools.
Benefits
- Competitive Compensation: Enjoy a competitive salary package and additional benefits.
- Stock options: We want you to have ownership in the company and share the successes that lie ahead. That’s why we offer early employees stock options as part of their compensation package.
- Learning Opportunities: Work alongside a team of smart and ambitious people.
- Startup Culture: Immerse yourself in a dynamic and innovative startup culture with a collaborative and passionate team.
- Professional Growth: Take ownership of your role, with opportunities for career advancement as we expand.
- Impact: Join a groundbreaking startup at a pivotal growth stage and directly influence our success.
- Contribute to the Future: Be part of a company committed to shaping the future of audio technology and speech enhancement.
If you’re passionate about audio, data, machine learning, and advancing the state of the art in AI speech technology, we’d love to hear from you!
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Audio Data Engineer Arbeitgeber: ai|coustics
Kontaktperson:
ai|coustics HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Audio Data Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in audio processing and machine learning. Follow relevant research papers and industry news to stay updated, as this will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your expertise by working on personal projects or contributing to open-source initiatives related to audio data engineering. This hands-on experience can demonstrate your skills and passion for the field.
✨Tip Number 3
Network with professionals in the audio technology space. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals and potentially gain referrals for job openings.
✨Tip Number 4
Prepare to discuss specific audio processing tools and techniques during your interview. Being able to articulate your experience with tools like ffmpeg and librosa will set you apart as a knowledgeable candidate.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Audio Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Company: Dive deep into ai|coustics and their mission. Familiarize yourself with their Generative Audio AI technology and how it impacts various industries. This knowledge will help you tailor your application to align with their goals.
Highlight Relevant Experience: Make sure to emphasize your expertise in audio processing, psychoacoustics, and machine learning. Provide specific examples of projects or experiences that showcase your skills in these areas.
Showcase Technical Skills: Clearly outline your proficiency in Python and any audio processing tools you've used, such as ffmpeg or librosa. Mention your experience with data structures, algorithms, and cloud platforms to demonstrate your engineering capabilities.
Express Passion for Innovation: Convey your enthusiasm for working in a startup environment and your commitment to advancing audio technology. Share any personal projects or research that reflect your passion for the field and your desire to contribute to the company's success.
Wie du dich auf ein Vorstellungsgespräch bei ai|coustics vorbereitest
✨Show Your Passion for Audio Technology
Make sure to express your enthusiasm for audio processing and speech enhancement during the interview. Share specific examples of projects or experiences that highlight your passion and expertise in this field.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in Python and any audio processing tools you've used, like ffmpeg or librosa. You might be asked to solve a technical problem or explain your approach to data management and analysis.
✨Stay Updated on Industry Trends
Research current advancements in audio technology and machine learning. Being knowledgeable about recent studies or tools can set you apart and show that you're committed to continuous learning in this fast-evolving field.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be sharing your expertise with the team. Think of examples that demonstrate your ability to work well in a startup environment and contribute positively to a collaborative culture.