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Sr. AI/ML Engineer, Video (Technology Office)
Sr. AI/ML Engineer, Video (Technology Office)Logitech • Lausanne, Switzerland
Sr. AI / ML Engineer, Video (Technology Office)

Sr. AI / ML Engineer, Video (Technology Office)

Logitech • Lausanne, Switzerland
Vor 4 Tagen
Stellenbeschreibung

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’s Technology Office defines and implements the company’s technology innovation strategy. The group aims to bring state-of-the-art technologies and capabilities to Logitech’s R&D and business groups, and enable breakthrough innovations.

The Technology Office hosts a team of world-class scientists and engineers with expertise in computer science, robotics, human-machine interaction, cognitive sciences, machine learning and artificial intelligence. The activities of the group, based at the EPFL Innovation Park, Lausanne (Switzerland), span spatial computing, biosensing, and immersive video solutions. We are looking for a talented AI / ML Engineer to join our explorations in Video AI at the edge, based on our own work and in collaboration with academic partners.

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 :

Solve the challenges of Logitech's AI at the edge.

Continuously assess the state of the art in the field.

Contribute to the definition of the Technology Office’s exploration agenda, fostering breakthrough innovation.

Be responsible for the entire model lifecycle : designing and training next-generation neural networks at scale, then mastering the optimization and porting techniques to deploy them on embedded systems.

Be working with a multidisciplinary team.

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. 7 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 in AI / ML techniques, incl. deep learning, computer vision, sensor fusion, and time series processing, from model architecture to model training, optimization (quantization, pruning, knowledge distillation, etc.) and porting.

Experience training and scaling large models on distributed computing clusters (e.g., AWS, GCP, or institutional HPC clusters).

Working experience in data collection, generation, augmentation and governance.

Relevant experience in Software development best practices and embedded systems (hardware and software) architectures.

Ability to rapidly dive into new scientific fields, researching and applying state-of-the-art in specific applications under tight engineering constraints.

Ability to collaborate in a team spanning research and development.

Experience in scientific research and collaborations.

Keen interest in human-machine interactions.

Pragmatic, innovative, curious & autonomous

Organized and good communication skills.

Preferred Qualifications :

Design, training, evaluation and optimization of deep neural networks, e.g. CNNs, RNNs, GANs, GNNs, transformers, etc. SLM and VLM are a plus.

Knowledge of loss modeling, multimodal training, supervised, unsupervised and self-supervised learning.

Deep learning framework such as PyTorch, Tensorflow and 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.

Authoring and peer review of scientific publications.

Education

MSc in Robotics, Computer Science, Computational Sciences, Machine Learning, Data Science or related sciences

PhD in related fields is a plus.

#LI-SL1

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.

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