About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

          

Junior ML/AI Speech Enhancement and Denoising Software Engineer

Location

Belgium, Leuven (Onsite)

Summary and Responsibilities

We are looking for a passionate junior Speech Enhancement and Denoising Software Engineer to develop advanced deep learning models for next-generation audio and speech systems on hearables (earbuds, headphones, head mounted devices) and wearables. You will participate to the full lifecycle of hybrid DSP+ML based solutions — from research and prototyping to optimization and deployment on embedded hardware with customer support — while collaborating with cross-functional teams in AI, DSP, acoustics, hardware, and systems.

Preferred Qualifications

• ML for Audio: Strong academic records and project experience developing ML models for audio applications (e.g., speech enhancement, separation, or classification).
• Data Handling: Familiarity with audio dataset curation, augmentation strategies, and defining robust evaluation metrics.
• ML Systems: Basic understanding of ML pipelines (training, validation, deployment) emphasizing code reproducibility.
• Good knowledge of deep learning architectures (CNNs, RNNs, Transformers, diffusion models, generative approaches) applied to acoustic data.
• Proficiency in Python or Matlab and ML frameworks (PyTorch, TensorFlow),
• Edge Optimization: Project experience optimizing models (quantization, pruning) for resource-constrained embedded platforms.
• Product Concepts: Conceptual understanding of integration challenges in real-time systems (latency, power, robustness).
• Research Output: Evidence of research contributions through academic publications or innovative thesis work in audio ML or acoustics.
• Continuous Learning: Demonstrated enthusiasm for staying current with the latest research in audio ML.

Minimum Qualifications

• Advanced Degree: MSc or PhD in Computer Science, Electrical Engineering, Acoustics, Vibrations, Applied Math, or equivalent.
• 1+ years of relevant experience (including internship of academic projects)
• Experience developing and deploying ML models, specifically related to audio and speech.
• Track record of publications and/or patents if you have a PhD.
• Excellent communication and can-do mindset.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days