Edge AI Software Engineer

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. As a world-renowned VR/AR brand with independent innovation and R&D capabilities, Pico has been at the forefront of the consumer electronic market. We have teams in Europe, Japan and South Korea. Now we are looking for experts in image pipeline to join us to build our AR/VR imaging team. Responsibilities - Face the challenge of low-power high-efficiency Edge AI system prototyping for future XR hardware projects including ultra-futuristic AR glasses and wearables. - Develop, optimize. deploy and test ML models on NPU in wearable embedded systems running RTOS, Linux or Android systems. Optimize model efficiency and accuracy for thermal and power constrained wearables. Build and improve the accuracy of ML / CV models, including refining open-source models to solve specific problems for user experience. - Work with firmware and software engineers to build and make Edge AI application usecases and demos on wearable AI hardware. Work with application developers to customize neural network architectures. - Co-develop model optimization tools needed for training neural networks and architecture design space exploration. Write modular and efficient Machine Learning (ML) training pipelines and assist in building profiling and visualization tools for wearable hardware applications.

Minimum Qualifications - PhD in Computer Science or related technical field with an emphasis on Machine Learning/Artificial Intelligence - 2+ years of experience in developing and training machine learning models. - 2+ years of experience working with any deep learning frameworks, Tensorflow, Pytorch or JAX. - Proficiency in C/C++ Preferred Qualifications - Experience in embedded software development using RTOS, Linux or Android. - Experience working with Edge AI hardware like NPU in embedded systems. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2