GN Group

Copywriter

• Develop, maintain, and refine primary messaging resources and frameworks for hardware products, software integrations, and global campaigns.
• Translate technical specifications and engineering details into consumer-friendly narratives.
• Write and edit copy for digital product pages, Amazon listings, packaging, sales training documents, emails, paid media assets, and more.
• Produce long‑form content such as technical guides, blog posts, and product explainers.
• Collaborate with marketing, brand, product, design, and software teams to ensure unified messaging.
• Utilize SEO tools and AI-driven content systems to identify content opportunities and optimize messaging.
• Uphold brand voice consistency, accuracy, and tone across all mediums.
• Manage review workflows and maintain editorial standards.
• Compile input from key stakeholders to refine and adapt messaging.

Technical Copywriter, Gaming – Consumer Tech

Cloud Engineer

• Implement cloud-native backend services and APIs for GNOS that directly support GN’s hearing products and R&D roadmaps.
• Design and implement resilient, observable services (logging, tracing, metrics, alerts) aligned with product and platform SLAs/SLOs.
• Work closely with R&D test engineers to ensure comprehensive test coverage (unit, integration, contract, performance).
• Participate in backlog refinement, estimation, and technical design discussions, balancing platform health with product delivery.
• Identify and help address technical debt in GNOS services, focusing on areas that unlock product innovation, performance, or reliability.

Cloud Developer – GNOS Platform

Machine Learning Engineer

• Develop and optimize AI/ML models for resource-constrained edge devices
• Collect, preprocess, and analyze datasets to train and validate models
• Apply model compression, quantization, and pruning techniques
• Ensure models perform reliably in real-world environments
• Collaborate closely with hardware engineers on AI model integration
• Identify and manage technical risks throughout the project

Machine Learning Engineer – Edge

• Design, build, and train scalable machine learning models and algorithms for cloud-based environments
• Collect, preprocess, and analyze large and complex datasets to support model development and continuous refinement
• Transition models from research to production, ensuring they are performant, maintainable, and ready to operate at scale
• Deploy ML models into existing or newly developed backend services, integrating seamlessly with cloud infrastructure
• Partner closely with engineers and product managers to deliver ML solutions that enhance and support our connected devices
• Test, evaluate, and continuously monitor deployed models to ensure accuracy, robustness, and early detection of data drift or performance degradation
• Build strong collaborative relationships with technical subject matter experts, stakeholders, and leadership across the organization
• Identify, communicate, and manage technical risks throughout the project lifecycle to ensure smooth delivery

Machine Learning Engineer – Cloud

Engineer

• Ensure high quality audio performance in GN headsets by porting, integrating, and validating audio DSP algorithms.
• Troubleshoot complex audio DSP and platform-related issues.
• Develop and execute comprehensive test plans to verify functionality and performance of DSP blocks.
• Perform low level debugging and identify root causes of audio anomalies.
• Develop and implement routines for factory calibration of transducers and audio components.
• Document implementation details, integration interfaces, and test procedures.
• Collaborate with cross-functional teams including Algorithm/DSP researchers and Acoustic Engineers.

Technical Copywriter, Gaming – Consumer Tech

Cloud Developer – GNOS Platform

Machine Learning Engineer – Edge

Machine Learning Engineer – Cloud

Audio Product Development Engineer – DSP