Cloud computing, Python Programming, PyTorch, SQL, TensorFlow
We are looking for a new member to join our Machine Learning team as a Lead Machine Learning Engineer focused on Distributed Systems. You should have the passion to tackle tough problems by bringing your expertise to ASAPP to help us solve cutting edge machine learning and natural language processing (NLP) challenges.
As a part of our team, you will design, develop, and deploy large-scale machine learning training infrastructure and processes to simultaneously train and update hundreds or thousands of cutting-edge models at the same time. You’ll work closely with our researchers, site reliability engineers, data engineers, and fellow machine learning engineers to build systems capable of training machine learning models at a scale and quality required to serve our clients, the world’s largest companies. You’ll be faced with new technical challenges and things to learn about ML and software engineering on a daily basis.
As our operations keep growing, we encourage applicants from all locations in Argentina to apply.
What you'll do
What you'll need
What we'd like to see
Benefits
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance.
Our artificial intelligence and machine learning products deliver automation and human augmentation, allowing individuals and organizations to realize their full potential. Today, the world's largest organizations rely on ASAPP to provide amazingly efficient and effective customer experiences. Our Research & Development team is unparalleled, driving the advancement of AI, machine learning, speech recognition, robotic process automation, natural