The Sound of AI Job Post for Amplifon X

Amplifon X is Amplifon’s internal R&D business unit and powerhouse, a dynamic team dedicated to pioneering software and hardware solutions in the field of audiology.

At Amplifon X, we thrive on pushing the boundaries of what's possible, creating groundbreaking tools that enhance the way we deliver hearing care and we perceive and interact with sound.

We are part of Amplifon, the global leader of hearing care, and at the same time we share the innovative, fast, entrepreneurial spirit of a startup with many ambitious projects from pure R&D to advanced go-to-market of solutions ready to market.

We are a fast growing team of around 40 Developer&Designer&Engineers, that already delivered patented and one-of-a-kind solutions like:

• the first mobile based audiometer on Apple ecosystem, with an unique very advanced DSP for a new state of art Real Ear Measurement (i.e. fft, several digital filters, proprietary equalizer in third octave bands of 4 mic streams in real time + estimation of frequency response of speakers) now used in around 500 stores and counting;
• the first and only mobile based tele-audiology solution, leveraging on proprietary video communication system;
• an advanced DAC Switcher, 6 layers, full internally designed (from PCB to its shell), which includes custom advanced firmware and proprietary communication protocol;
• the first over-the-internet, BLE proxy solution bypassing mandatory hardware-system to fit hearing devices;
• the first app connecting any smartphone to any hearing devices of all major hearing aids manufacturers.

Who we are looking for

Are you passionate about leveraging cutting-edge technology to revolutionize the hearing care and audiological experience?

Welcome to the forefront of Innovation! We are seeking driven individuals to join Amplifon X.

As part of our team, you'll have the unparalleled opportunity to shape the future of audiological technology, merging creativity with technical expertise to craft solutions that make a tangible impact on people's lives.

From developing intuitive software applications that redefine hearing assistance to engineering state-of-the-art hardware devices, as end-to-end product owner, our team is committed to excellence in every aspect of audiological innovation.

You’ll work on a new R&D project, aimed to revolutionize the hearing industry, that typically is a conservative industry, following a consolidated approach in bringing product novelty to customers and characterized by limited break-through innovation and a slow pace.

Amplifon starting from first principles, without baggage/heritage/pre-conceptions, is interested in setting up a purely R&D focused project, aiming to explore whether it’s possible to conceive - starting from scratch - completely different innovational audiological features which would ultimately benefit the hearing experience of customers.

Join us on this exciting journey where your ideas, skills, and passion converge to shape the next generation of auditory solutions. Together, let's pave the way for a world where technology amplifies not just sound, but human potential.

We need people like us.

We look for people who are:

• obsessed by perfection and breathe technology;
• high skilled and inspired;
• keen to disrupt the status quo;
• willing to go the extra mile;
• love doing their job;
• doers deep inside their hearts;
• ready to go beyond their limits;
• eager to go beyond bureaucracy and feel safe working with no hierarchical organization;
• ready to sail the sea of Innovation.

We need PIRATES.

If this is what you think you are, then you are ready to sail the ship of Innovation, leaving an indelible mark in this World.

We are currently seeking a strongly motivated Embedded Audio Machine Learning Engineer, who will work remotely, but based in Italy.

We are looking for a hands-on ML engineer who is interested in applying ML and DSP experience in a product development environment. This environment presents unique learning opportunities to explore applying ML to challenging problems related to noise reduction, immersive audio, and hearing enhancement.

You will be working alongside other engineers and developers working on different aspects of the project. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.

Professional growth path

This opening is part of a multi-year hiring plan to build a dedicated AI team focused on the above topics

In particular, you will be the bedrock on top of which this AI focused team will be built.

Main activities

Research, model, design, develop and evaluate novel machine learning models and algorithms for audio real time processing.

Collaborate with other teams for the integration and evaluation of ML algorithms onto embedded product platform.

What you'll need

Required

• M.S. in Computer Engineering, Machine learning, Computer Science, Statistics, Electrical Engineering, Music Technology or a related field.
• Familiarity with Deep Learning Audio Signal Processing approaches for tasks including: speech enhancement / noise suppression / voice pickup / source extraction, audio understanding / scene classification, and hearing assistance.
• Familiarity with DSP.
• Experience integrating DSP and AI-powered algorithms into audio block processing pipelines.
• Understanding of how neural network operators map to embedded hardware such as DSP’s, GPU’s and NPU’s.
• Hands-on experience porting neural network algorithms from intermediate representations such as TFLite, TFLite Micro, ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference APIs.
• Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference.
• Strong programming skills, especially in one or more of the following languages Python, R, C/C++.

Nice to haves

• Proficient with MATLAB or similar tools of audio data analysis.
• Practical experience in setting up and managing a full ML modeling pipeline (Github, MLOps).
• Knowledge in cloud computing, preferably using popular services like AWS, GCP, or Azure.
• Expertise in audio propagation and auditory perception.
• Hands-on experience coding on HiFi, Gap9/NE16, or VIP9000 ML processors.
• Expertise with basic audio lab equipment and measurement techniques.
• Experience with or understanding of acoustic transducers such as microphones, microspeakers and loudspeakers.
• A proactive and self-motivated approach to learning and staying up-to-date with the latest technologies.

Personal/Organisational skills

• Tech passionate.
• Fast learning and strong problem-solving skills.
• Great attention to details.
• At least B2 level English proficiency.
• Good communication and relational skills.
• Ability to work autonomously and proactively on assigned tasks, entrepreneurial mindset.