Senior Artificial Intelligence (AI)/Machine Learning (ML) Engineer, Video (R&D)

Logitech

Lausanne, Switzerland

We are looking for a talented Senior Artificial Intelligence (AI)/Machine Learning (ML) Engineer to join a growing team of Data Engineers, Artificial Intelligence (AI)/Machine Learning (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. 5–6 years of relevant professional experience in algorithm development (signal processing and AI/ML) with a focus on live video;
Significant industry experience in deploying deep learning models to real-world consumer products;
Hands-on experience with latest AI/ML (Deep Learning) techniques and toolchains from architecture to training, evaluation, optimization, and porting to embedded systems (Linux/Android) and clients (MacOS/Windows);
Experience training and scaling models on distributed computing clusters (e.g., AWS, GCP, or HPC clusters);
Familiarity with data engineering: collection, generation, augmentation, and governance;
Experience with Software Development Life Cycle (SDLC) best practices in embedded systems or host clients;
Pragmatic, innovative, curious, and autonomous with a strong ability to communicate technical concepts to cross-functional partners.

Skills:

Design, training, evaluation, and optimization of deep neural networks (CNNs, RNNs, GANs, etc.). Knowledge of Transformers and LLMs is a plus;
Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or TinyML, as well as ONNX representations;
Knowledge of supervised, unsupervised, and self-supervised learning;
General-purpose programming languages, including Python, C/C++, and C#;
Software development experience on embedded platforms (e.g., ARM) and embedded AI.