At WS Audiology, we bring hope and hearing to millions of people across the globe. With a passion for innovation and a commitment to improving quality of life, we design and deliver cutting-edge hearing solutions. Our AI Center of Excellence (CoE) drives this mission by harnessing artificial intelligence and machine learning to create products and services that transform hearing care for end-users and hearing care professionals.

The role

As a Machine Learning Engineer in our AI CoE, you will play a key role in turning ideas into impactful solutions. You will be working with state-of-the-art (SOTA) artificial intelligence (AI) and machine learning (ML) to apply your deep theoretical and hands-on skills within this high-paced field.

This is an engineering‑focused role where you will explore and shape ideas into mature, robust solutions. From the outset, you will factor in architecture, software quality, backend integration, and performance to deliver fully functioning prototypes – stable and refined enough to serve as a concrete step toward the final product. They will clearly showcase our work to stakeholders and more importantly enable authentic, unbiased feedback from users.

In this explorative, team-driven environment, you’ll continually expand your expertise in ML/AI and software engineering while learning from – and contributing to – a diverse pool of talented colleagues.

What you will do

In this role, you will be responsible for bridging SOTA AI/ML research with practical engineering, ensuring our ideas become reliable, real-world solutions. You will work hands-on with data, models, and prototypes, and collaborate across functions to turn innovation into impact.

Your role will be focused on:

• Design, develop, and refine complete AI-/ML-driven solutions and -algorithms for hearing technology solutions
• Build and validate prototypes, optimizing for accuracy, latency, and efficiency
• Investigate and apply state-of-the-art AI/ML methods, frameworks, and tools
• Collaborate cross-functionally with colleagues in AI CoE, R&D, Product, and Engineering
• Support patenting of innovative ideas and features where relevant
• Contribute and embrace best practices within ML Ops and general DevOps, such as version control incl. modern PR workflows, CI/CD, scalable deployment pipelines, etc.

What you bring

To succeed in this role, you combine strong technical expertise with curiosity, creativity, and the ability to work across disciplines. You thrive in an environment where ideas are challenged and refined, and where solutions must balance innovation with reliability and efficiency.

Experience

• Strong proficiency in machine learning and AI methodologies (e.g., Deep Learning, Bayesian methods, nonparametric models, optimization)
• Experience with frameworks such as TensorFlow, PyTorch, scikit-learn, SciPy
• Programming skills in Python
• Familiarity with modern software engineering practices (git, code reviews, DevOps/MLOps principles, CI/CD)
• Ability to work with real-world data and iterate based on feedback and performance
• (Nice to have) Experience with hearing technology, medical devices, or other regulated environments
  

Competencies

• Strong analytical mindset combined with curiosity and creativity
• Clear and effective communication skills, with the confidence to share and challenge ideas

Who we are

At WSA, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WSA is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we believe that our work is at its best when everyone feels free to be their most authentic self.