Technology, Information and Internet

ai-coustics

11-50

Germany

ai|coustics is a Berlin-based startup pioneering Generative Audio AI technology for speech enhancement. We’re on a mission to redefine how people experience speech quality and intelligibility in real-time communication and media content, serving millions of users across diverse verticals—including TVs, Soundbars, Headphones, Hearing Devices, Broadcasting, Streaming, and more. Our approach goes beyond noise suppression, crafting listening experiences that set new industry standards. If you’re excited about building robust, scalable systems and empowering cutting-edge machine learning, 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 May 15, 2025.**

## Tasks

*   **Build and Maintain Infrastructure**: Design, implement, and manage cloud and on-premise infrastructure for training, experimentation, and deployment of ML models and audio pipelines.
*   **Enable the ML Team**: Collaborate closely with data scientists and audio ML engineers to understand their workflows, ensuring they have the necessary tools, environments, and resources to iterate quickly.
*   **Automate Deployment**: Develop and maintain CI/CD pipelines for machine learning and production software services, ensuring reliable and repeatable deployments.
*   **Orchestrate at Scale**: Implement containerization (Docker) and orchestration (Kubernetes or similar) solutions to efficiently manage clusters and GPU resources.
*   **Monitoring & Observability**: Set up logging, monitoring, and alerting frameworks to proactively identify and resolve issues across the entire stack.
*   **Security & Compliance**: Ensure the infrastructure and pipelines meet security best practices and comply with relevant data protection standards.
*   **Continuous Improvement**: Evaluate, implement, and advocate for new tools and best practices to streamline ML workflows, from data ingestion and transformation to model serving.

## Requirements

**DevOps & Infrastructure Expertise**

*   Experience with containerization tools (Docker) and orchestration platforms (Kubernetes (preferred), ECS, or similar).
*   Proven ability to design and manage CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins).
*   Hands-on experience with Infrastructure as Code (Terraform).
*   Strong background in cloud services (AWS, GCP, or Azure), including compute, storage, networking, and security.
*   Familiarity with logging and monitoring tools (Prometheus, Grafana).

**MLOps & Data Pipelines**

*   Practical knowledge of modern MLOps concepts: model versioning (W&B, MLflow, DVC, or similar), automated data validation, and data lineage.
*   Experience enabling ML teams with scalable GPU resources for training and inference.
*   Understanding of distributed training techniques and frameworks (PyTorch (preferred), TensorFlow).
*   Knowledge of best practices in data management and data processing pipelines for large-scale machine learning projects.

**Software Engineering & Collaboration**

*   Proficiency in at least one major programming language (Python preferred), with clean, maintainable coding habits.
*   Familiarity with modern software development workflows (Git, code reviews, agile methodologies).
*   Strong communication skills—able to collaborate with cross-functional teams and clearly articulate technical solutions to diverse stakeholders.

**Strong Problem-Solving Mindset**

*   Ability to troubleshoot complex systems and rapidly diagnose issues.
*   Keen sense of ownership, with a drive to continuously improve and optimize performance, reliability, and security.

## Benefits

*   **Competitive Compensation**: Enjoy a competitive salary package and additional benefits.
*   **Stock Options**: Early-stage employees receive stock options, enabling you to share in the company’s success.
*   **Learning Opportunities**: Collaborate with a team of accomplished audio and ML experts, with ample room for professional growth.
*   **Startup Culture**: Immerse yourself in a dynamic, fast-paced environment with passionate and collaborative colleagues.
*   **Professional Growth**: Seize the chance to shape your career path as the company expands.
*   **High Impact**: Join a groundbreaking startup at a pivotal growth stage, making a real difference in how people experience audio.
*   **Contribute to the Future**: Help define the landscape of generative audio and speech enhancement technology.

If you're driven by building robust systems, enabling cutting-edge ML breakthroughs, and shaping the future of real-time speech enhancement, we’d love to hear from you!

**Apply now** and become a key player in our mission to deliver world-class audio solutions at ai|coustics.

Employee

Professional / Experienced

ai|coustics is a Berlin-based startup pioneering Generative Audio AI technology for speech enhancement. We’re on a mission to redefine how people experience speech quality and intelligibility in real-time communication and media content, serving millions of users across diverse verticals—including TVs, Soundbars, Headphones, Hearing Devices, Broadcasting, Streaming, and more. Our approach goes beyond noise suppression, crafting listening experiences that set new industry standards. If you’re excited about building robust, scalable systems and empowering cutting-edge machine learning, 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 May 15, 2025.
<h2 id="tasks">Tasks</h2>
<ul>
<li>Build and Maintain Infrastructure: Design, implement, and manage cloud and on-premise infrastructure for training, experimentation, and deployment of ML models and audio pipelines.</li>
<li>Enable the ML Team: Collaborate closely with data scientists and audio ML engineers to understand their workflows, ensuring they have the necessary tools, environments, and resources to iterate quickly.</li>
<li>Automate Deployment: Develop and maintain CI/CD pipelines for machine learning and production software services, ensuring reliable and repeatable deployments.</li>
<li>Orchestrate at Scale: Implement containerization (Docker) and orchestration (Kubernetes or similar) solutions to efficiently manage clusters and GPU resources.</li>
<li>Monitoring &amp; Observability: Set up logging, monitoring, and alerting frameworks to proactively identify and resolve issues across the entire stack.</li>
<li>Security &amp; Compliance: Ensure the infrastructure and pipelines meet security best practices and comply with relevant data protection standards.</li>
<li>Continuous Improvement: Evaluate, implement, and advocate for new tools and best practices to streamline ML workflows, from data ingestion and transformation to model serving.</li>
</ul>
<h2 id="requirements">Requirements</h2>
DevOps &amp; Infrastructure Expertise
<ul>
<li>Experience with containerization tools (Docker) and orchestration platforms (Kubernetes (preferred), ECS, or similar).</li>
<li>Proven ability to design and manage CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins).</li>
<li>Hands-on experience with Infrastructure as Code (Terraform).</li>
<li>Strong background in cloud services (AWS, GCP, or Azure), including compute, storage, networking, and security.</li>
<li>Familiarity with logging and monitoring tools (Prometheus, Grafana).</li>
</ul>
MLOps &amp; Data Pipelines
<ul>
<li>Practical knowledge of modern MLOps concepts: model versioning (W&amp;B, MLflow, DVC, or similar), automated data validation, and data lineage.</li>
<li>Experience enabling ML teams with scalable GPU resources for training and inference.</li>
<li>Understanding of distributed training techniques and frameworks (PyTorch (preferred), TensorFlow).</li>
<li>Knowledge of best practices in data management and data processing pipelines for large-scale machine learning projects.</li>
</ul>
Software Engineering &amp; Collaboration
<ul>
<li>Proficiency in at least one major programming language (Python preferred), with clean, maintainable coding habits.</li>
<li>Familiarity with modern software development workflows (Git, code reviews, agile methodologies).</li>
<li>Strong communication skills—able to collaborate with cross-functional teams and clearly articulate technical solutions to diverse stakeholders.</li>
</ul>
Strong Problem-Solving Mindset
<ul>
<li>Ability to troubleshoot complex systems and rapidly diagnose issues.</li>
<li>Keen sense of ownership, with a drive to continuously improve and optimize performance, reliability, and security.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Competitive Compensation: Enjoy a competitive salary package and additional benefits.</li>
<li>Stock Options: Early-stage employees receive stock options, enabling you to share in the company’s success.</li>
<li>Learning Opportunities: Collaborate with a team of accomplished audio and ML experts, with ample room for professional growth.</li>
<li>Startup Culture: Immerse yourself in a dynamic, fast-paced environment with passionate and collaborative colleagues.</li>
<li>Professional Growth: Seize the chance to shape your career path as the company expands.</li>
<li>High Impact: Join a groundbreaking startup at a pivotal growth stage, making a real difference in how people experience audio.</li>
<li>Contribute to the Future: Help define the landscape of generative audio and speech enhancement technology.</li>
</ul>
If you&#39;re driven by building robust systems, enabling cutting-edge ML breakthroughs, and shaping the future of real-time speech enhancement, we’d love to hear from you!
Apply now and become a key player in our mission to deliver world-class audio solutions at ai|coustics.

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