Machine Learning Training Infrastructure Engineer

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: You will be pivotal in developing and optimizing computer vision algorithms used in our video collaboration products. As part of a collaborative group of developers and ML researchers, your work will enhance the user experience in conference rooms worldwide. Your role will involve building and improving software that supports thousands of daily users, emphasizing innovation and quality. 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: - Curate annotated images to train Computer Vision/Machine Learning (CV/ML) algorithms/models. - Augment images to simulate various real-life conditions. - Write C++ and Python code to build and enhance the training platform for CV models. - Research existing research papers on CV, enhance existing Open Source models, and incorporate novel techniques or develop new algorithms from scratch to address complex use cases for the Logitech Video Collaboration platform. - Optimize CV algorithms for embedded platforms running Android or Linux Operating Systems. - Perform QA/validation on newly trained models and provide feedback to the development team on failure cases. Key Qualifications: For consideration, you must bring the following minimum skills and experiences to our team: - Strong background in computer vision and graphics or image processing. - Knowledge of linear algebra fundamentals and optimization. - Experience with popular deep learning frameworks like TensorFlow, Caffe, or PyTorch. - Ability to research, prototype, and implement new algorithms in production-level code on an embedded platform (Linux/Android). - Proficiency in coding with C/C++, Python, Lua, R, Matlab, or a related language. - Experience in using Source Control/Project Tracking systems like Github or Jira. - At least one completed complex, real-world CV project as a CV developer with algorithm implementation. - 3+ years as a Computer Vision/Machine Learning engineer with real-world experience in training framework and tools (TensorFlow, Caffe, PyTorch), model compression, and inference optimization. #LI-RD1 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.