Audio Machine Learning Data Engineer

El Camino Health; Lausanne; Hybrid; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Logitech is seeking an Audio Machine Learning Data Engineer to develop and manage audio datasets and data pipelines for our hardware audio ML and DSP products. You will influence audio experiences by ensuring dataset quality, building scalable augmentation, and deploying ML models on constrained platforms.

You will work within a team focused on data integrity, reproducibility, and cross-functional collaboration, with a hybrid work model allowing remote and on-site collaboration globally.

Qualifications

• 3+ years of experience with large audio datasets and data augmentation/preprocessing.

Responsibilities

• Data Pipeline Management: ensure integrity and quality of audio ML data pipelines and datasets, including data augmentation; manage supervised/unsupervised/semi-supervised workflows.
• Model Development and Deployment: develop and deploy audio ML models for resource-constrained platforms (Tensilica DSP, ARM, RISCV).
• Design and manage audio data collection, labeling, cleaning and augmentation pipelines; evaluate scalable augmentation techniques.
• Establish and maintain high-quality, versioned datasets for training, validation and benchmarking.
• Build automated tools for monitoring data quality and diversity.
• Formulate strategies for continuous improvement of datasets.

Skills

Audio data

Python

Data pipelines

ML frameworks

Education

Bachelor's or Master's in EE/CS

Tools

TensorFlow

Keras

Job description

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.

Role and Team

As an Audio Machine Learning Data Engineer on the Logitech Hardware Audio Machine Learning and DSP Product team, you will work on developing and managing our audio datasets and data pipelines. This work directly influences the innovative audio experiences we deliver to our customers.

Your Contribution

Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.

In this role you will:

• Data Pipeline Management: Ensuring the integrity and quality of Audio Machine Learning data pipelines and datasets, which involves robust data augmentation and managing workflows for supervised, unsupervised, and semi-supervised Machine Learning audio applications.
• Model Development and Deployment: Collaborating with the team to develop and deploy Audio Machine Learning models, specifically targeting platforms with strict resource limitations (such as Tensilica DSP, ARM, and RISC-V).
• Design and manage audio data collection, curation, labeling, cleaning and augmentation pipelines Evaluate and implement scalable data augmentation techniques.
• Establish and maintain high-quality, well-versioned, and documented datasets essential for training, validation, and benchmarking of audio Machine Learning models.
• Build automated tools for monitoring and ensuring the quality and statistical diversity of audio data.
• Formulate and execute strategies for continuous improvement of existing datasets.

Key Qualifications

• Audio Data Expertise: A minimum of 3 years of direct experience working with extensive audio datasets, including advanced data augmentation and preprocessing techniques audio Machine Learning.
• Python Proficiency: Strong proficiency in Python for both Machine Learning model development and automating data pipelines.
• Data Pipelines and Machine Learning Frameworks: Proven expertise in building scalable data pipelines and expertise in employing Machine Learning frameworks (TensorFlow, Keras) with large-scale, complex datasets.

Preferred Qualifications

• Expert-level skills in audio analysis, including listening and artifact detection, with a proven track record of validating performance across diverse datasets.
• Strong familiarity with designing, executing, and statistically analyzing audio quality measurement protocols, specializing in managing data-driven objective and subjective evaluations.
• A strong data-first mindset, with a demonstrated ability to drive innovation both independently and as part of a team.
• Proficiency in C and SQL, along with experience using code version control systems (Git), is a valuable asset.
• Excellent cross-functional communication, documentation, and leadership skills, emphasizing transparency in data and results.

Education

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related discipline. Equivalent practical experience in professional audio Machine Learning and data engineering considered; advanced/relevant continuing education preferred.

Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on‑premises. Within this structure, you may have teams or departments split between working remotely and working in‑house.

Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences.

Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences.

Don’t meet every single requirement? Not a problem.

We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at [phone] for assistance and we will get back to you as soon as possible.

As a company, we’re just the right size for every person to take initiative and make things happen. We’re big enough in our portfolio for those actions to have a global impact. That’s a pretty sweet spot to be in and we strive to keep it that way.

At Logitech, our values are not words posted on a wall. They are a core part of who we are. They are lived and recognized in our actions every day. Learn about our values.

We design award-winning products that drive superior performance when gaming and superior productivity when working. We enable creativity when pursuing passions, and enhance connectivity so everyone is seen, heard and can contribute in their own unique way. Learn more about our brands and products.

We extend human potential in work and play, in a way that is good for people and the planet. Take a look at where we play. We have offices in over 30+ countries and our products are sold in over 100 countries worldwide. We’re truly global and want you to be too.

Learn more about our benefits.

At Logitech, we live our values and expect you to show the same to become one of us. Be who you are, come prepared, and we’ll try to make it enjoyable in the process.

Generally, the process is simple, and as quick as possible. Check out our general approach.