Lead Machine Learning Systems Architect

As a Senior Research Engineer, you will be responsible for building cutting-edge AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for individuals with solid engineering skills who can design, implement, and improve massive-scale distributed machine learning systems. Responsibilities Past experience in creating high-performance implementations of deep learning algorithms is essential.You must have experience working in large distributed systems.You will provide technical perspective to develop ML best practices and influence engineering culture in the team.You need to have in-depth knowledge of how the machine learning system interacts with systems around it.Evaluate the tradeoffs of different ML models/systems and deploy best ML practices.Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models is required.Qualifications You should have run at least small-scale ML experiments.You love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden.You must have strong software engineering skills and be proficient in Python.You are comfortable working with researchers to enable them to develop the next generation of models.About Us We offer an open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.We also provide outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.We believe in rewarding our employees with a competitive remuneration package, healthcare, education support, leave benefits, and more.