Job Openings – work from anywhere
FedML, Inc. is hiring for multiple positions in engineering, product, and business development (please click each position for the Job Description). If you are interested, please email email@example.com with CV attached, briefly introduce your background, and explain why you would like to work with us (suggested email title: “Apply FedML – Position” for easier management).
- Product Manager
- Business Development
- Customer Success Engineer
- Machine Learning Engineer/Technical Leader
- Senior Research Scientist/Tech Lead in AI Applications (CV/NLP/Data Mining)
- Blockchain Senior Software Engineer/Technical Leader
- Back-end and Data Platform Software Engineer
- Web Front-end Software Engineer
- Android/C++ SDK Software Engineer
- Full-time/part-time Researcher for Federated/Distributed Machine Learning/Systems
- Full-time/part-time Research Intern for Federated/Distributed Machine Learning/Systems
- Full-time/part-time Researcher for AI Application (CV/NLP/Data Mining)
- Full-time/part-time Research Intern for AI Application (CV/NLP/Data Mining)
- Visa Sponsorship (OPT/CPT, H1B, etc.)
- Hybrid working style (flexible to work from home)
- Macbook Pro for researchers/engineers; Macbook Air for other positions.
- A competitive benefit package (e.g., healthcare) that is better/comparable to big Internet companies
About the job
FedML, Inc. (https://fedml.ai) is to help people or organizations have AI capability from data anywhere at any scale. FedML stands for “Fundamental Ecosystem Development/Design for Machine Learning” in a broad scope, and “Federated Machine Learning” in a specific scope. At the current stage, FedML is developing and maintaining a machine learning platform that enables zero-code, lightweight, cross-platform, and provably secure federated learning and analytics. It enables machine learning from decentralized data at various users/silos/edge nodes, without the need to centralize any data to the cloud, hence providing maximum privacy and efficiency. It consists of a lightweight and cross-platform Edge AI SDK that is deployable over edge GPUs, smartphones, and IoT devices. Furthermore, it also provides a user-friendly MLOps platform to simplify decentralized machine learning and real-world deployment. FedML supports vertical solutions across a broad range of industries (healthcare, finance, insurance, smart cities, IoT, etc.) and applications (computer vision, natural language processing, data mining, and time-series forecasting). Its core technology is backed by more than 3 years of cutting-edge research of its co-founders, who are recognized leaders in the federated machine learning community.
FedML’s researchers and software engineers develop the next-generation platform for machine learning and artificial intelligence. We’re looking for researchers or engineers who bring fresh ideas from all areas, including machine learning and its applications in compute vision, natural language processing, data mining, as well as large-scale system design and implementation for distributed/cloud computing/systems, security/privacy, mobile/IoT systems, networking, Web UI design and development. As a software engineer, you will work on a specific project critical to our customers’ needs. We hope our engineers to be a faster learner and be enthusiastic to tackle new problems as we continue to push technology forward. You will design, develop, test, deploy, maintain, and enhance software solutions.
CEO – Salman Avestimehr
Salman Avestimehr is a world-renowned expert in federated learning with more than 20 years of R&D leadership in both academia and industry. He has been a Dean’s Professor and the inaugural director of the USC-Amazon Center on Trustworthy Machine Learning at University of Southern California. He has also been an Amazon Scholar in Amazon. He is a United States Presidential award winner for his profound contributions in information technology, and a Fellow of IEEE. https://www.avestimehr.com/
CTO – Chaoyang He
Chaoyang He is PhD from the CS department at the University of Southern California, Los Angeles, USA. He has research experience on distributed/federated machine learning algorithms, systems, and applications, and published papers at top-tier conferences such as ICML, NeurIPS, CVPR, ICLR, AAAI, and MLSys. He also has rich experience in industry in the areas of distributed/cloud computing and mobile/IoT systems. He was an R&D Team Manager and Principal Software Engineer at Tencent, and also worked as researcher/engineer at Google, Facebook, Amazon, Baidu, and Huawei. He has received a number of awards in academia and industry. Homepage https://chaoyanghe.com
Our HQ is at California, but we support working from anywhere in the world.