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

Logitech International S.A.
Lausanne, Switzerland
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Lausanne, Switzerland

Tech stack

Microsoft Windows
Artificial Intelligence
Algorithm Design
Amazon Web Services (AWS)
Apple Mac Systems
Artificial Neural Networks
C Sharp (Programming Language)
C++
Information Engineering
Linux
Distributed Systems
Python
Machine Learning
TensorFlow
Signal Processing
Software Engineering
Toolchain
PyTorch
Large Language Models
Deep Learning
Information Technology
ONNX (Open Neural Network Exchange) Format
Programming Languages

Requirements

  • 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., * 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.

Education:

  • MSc in Computer Science, Machine Learning, Data Science, or a related field.
  • PhD in a related field is a plus.

About the company

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 role and team: 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. Delivering unique human and machine vision solutions to Logitech's webcam business, the team is at the forefront of technology and product innovation. 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 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., 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.

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