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.

The Team and Role:

Logitech is the established market leader in video communication solutions for consumers and enterprise users alike. Building on its strong marketing and engineering heritage, Logitech continues to push the boundaries of technology by investing in advanced video processing and AI/ML capabilities.


The Video AI/ML Technology Development Team spearheads the creation of cutting-edge AI/ML algorithms and video pipelines for edge peripherals and host devices, specifically for consumer applications. Delivering unique human and machine vision solutions to Logitech's webcam business, the Video AI/ML Technology Development Team is at the forefront of technology and product innovation. The team encompasses world-class engineers with expertise in computer science, data science, machine learning and artificial intelligence. Based at the EPFL Innovation Park, Lausanne (Switzerland), this team works closely with Software and Hardware development teams in North America and Asia.


We are looking for a talented AI/ML Engineer to join a growing team of Data Engineers, AI/ML Engineers and Software Developers, responsible for product and technology development in consumer webcams and applications. Following best practices in AI/ML and SW development, you will work in cross-functional teams across software and hardware engineering, program management, product management and design, to efficiently deliver on a product strategy. You will also work closely with Logitech's Technology Office in developing the technology portfolio for disruptive innovation.

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:


Develop AI/ML algorithms and video pipelines across the entire model lifecycle: from design to training at scale, optimization, porting and deploying them to (embedded and hosted) target platforms. Working with a multidisciplinary team, you will champion best practices to turn cutting-edge research into robust and innovative solutions that define the future of human-machine interaction.

Key Qualifications:

For consideration, you must bring the following minimum skills and experiences to our team:


Min. 5 years of relevant work and/or academic experience in algorithm development (signal processing and AI/ML) with an emphasis on live video. Hands-on experience with the latest AI/ML (Deep Learning) techniques, models and toolchains, from architecture to training, evaluation, optimization and porting to embedded systems (Linux/Android) and clients (MacOS/Windows). Experience training and scaling large models on distributed computing clusters (e.g., AWS, GCP, or institutional HPC clusters). Familiarity with data engineering collection, generation, augmentation and governance. Experience with Software development best practices (SDLC) in embedded systems and host clients. Ability to collaborate in a cross-functional team spanning engineering, business and design. Keen interest in human-machine interactions. Pragmatic, innovative, curious & autonomous Organized and good communication skills.
Skills


Design, training, evaluation and optimization of deep neural networks, e.g. CNNs, RNNs, GANs, etc. Transformers and LLMs are a plus. Knowledge of loss modeling, multimodal training, supervised, unsupervised and self-supervised learning. Deep learning framework such as PyTorch, Tensorflow or TinyML, as well as ONNX models representation. Familiarity with cloud computing platforms or HPC environments for large-scale model training. General purpose programming languages, including Python, C/C++, C# and Java.. SW development on embedded platforms such as ARM and embedded AI. SDLC is a plus.
Education


MSc in Robotics, Computer Science, Computational Sciences, Machine Learning, Data Science or related sciences PhD in related fields is a plus.


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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. Don't meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. 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 +1-510-713-4866 for assistance and we will get back to you as soon as possible.