Innovation Engineer developing optical systems at Opto GmbH, working on technology scouting, prototypes, and collaboration with research partners.
About the role
- Audiological Research Engineer developing innovative hearing solutions and services for hearing impaired people. Collaborating in a multidisciplinary team to drive functional innovation and evaluate user benefits of AI capabilities.
Responsibilities
- Design and analyze experiments using clinical and biomedical data; collaborate with audiologists, clinicians, and engineers to translate research into deployable tools.
- Contribute to prototypes and the integration of innovative functions into future product platforms and services.
- Contribute to the development of new test methods to validate audiological concepts.
- Evaluate the AI feature by performing technical measurements in the lab, small studies with actual expert listeners and handling the clinical documentation side for the studies.
- Stay current with state-of-the-art ML, AI, and audio signal processing research.
- Support knowledge transfer to product teams, clarify requirements, and help translate prototypes into commercial features.
- Support the design, coordination, and monitoring of clinical studies (internal and with external collaborators).
- Analyze results and formulate proposals for implementation in our products and systems
Requirements
- Master’s degree in engineering, audiology, computer science, physics, or related natural sciences; PhD in a related field is a plus
- At least 2 years of development experience using Python or similar programming languages
- Strong background in signal processing and its application to audio or audiology data
- Experience in developing functionality for medical devices or in performing diagnostic hearing testing & fitting of hearing devices is an advantage
- Familiarity with large-scale data processing or statistical analysis is a plus
- Profound Knowledge in evaluation methods (HI verification, electroacoustic performance, subjective testing), fitting procedures, implementing and recording technical measurements in the lab
- Knowledge of audiological acoustics, psychoacoustics normal and hearing impaired
- Basic knowledge of deep learning
- Strong problem-solving and analytical skills with high-quality awareness
- Very good English skills in both verbal and written communication and good German or French in verbal communication is a plus.
Benefits
- Flexible hybrid working model
- Wide range of training opportunities for professional and personal development
- Exceptional growth opportunities with individual development plans
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior ML Research Engineer driving the research and development of multimodal embedding models at TwelveLabs. Collaborating on projects integrating video, audio, and text for innovative AI solutions.
Research Engineer developing and operating analytical infrastructure for Gridware’s edge grid monitoring product. Collaborating on measurement analysis and new product operationalization in R&D team.
Senior Research Engineer specializing in solid mechanics for Gridware's new sensing capabilities. Focused on mechanics modeling and algorithm design within a climate - tech environment.
Research Engineer developing agentic systems at Anthropic focused on LLMs and AI applications. Collaborating with researchers to enhance agent performance and tackle complex tasks.
System Modelling Innovation Engineer at Electrolux developing advanced product development system models. Enhancing modeling techniques and optimizing product development for better consumer experiences.
R&D Engineer developing estimation and control strategies for Electrolux appliances. Collaborating with global teams to innovate product features and drive sustainability in consumer electronics.
Principal Research Engineer leading engineering activities in behavior autonomy for Scientific Systems. Overseeing critical technology deliverables, team management, and proposal efforts.
Staff Research Engineer involved in creating a neurosymbolic AI agent at Onton. Focused on optimal decision - making processes and addressing challenges in current AI systems.
Research Engineer focusing on decentralized AI training stack for Prime Intellect. Engaging in novel research, optimizing workloads, and contributing to open - source frameworks.