Company and Role
Logitech is a market leader in video communication solutions for consumers and enterprise users alike. 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, delivering unique human and machine vision solutions to Logitech’s webcam business. Based at the EPFL Innovation Park, Lausanne (Switzerland), the team works closely with Software and Hardware development teams in North America and Asia. We are looking for a Senior Artificial Intelligence (AI)/Machine Learning (ML) Engineer to join our growing team and contribute to product and technology development in consumer webcams and applications.
Responsibilities
Develop AI/ML algorithms and video pipelines across the entire model lifecycle: design, training at scale, optimization, porting and deploying them to embedded and hosted target platforms. Work with multidisciplinary teams to champion best practices and turn cutting‑edge research into robust, innovative solutions that define the future of human‑machine interaction. Follow AI/ML and software development best practices while collaborating across software and hardware engineering, program management, product management and design.
Qualifications
* 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 the latest AI/ML (deep learning) techniques and toolchains from architecture to training, evaluation, optimization, 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 large language models (LLM) is a plus
* Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or TinyML, and 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
Education
MSc in Computer Science, Machine Learning, Data Science, or a related field. PhD in a related field is a plus.
Work Arrangement
We support hybrid work; employees may work remotely or on‑premises. This structure allows teams to split their work between remote and in‑house locations.
Benefits
We offer comprehensive and competitive benefits packages and working environments designed to be flexible and support your physical, financial, emotional, intellectual, and social wellbeing.
EEO Statement
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 disability.
#J-18808-Ljbffr