Machine learning Researcher

• Developing foundational models that learn the underlying dynamics of complex, real-world systems
• Architect and train novel deep generative networks to model and predict intricate, high-dimensional phenomena, translating bleeding-edge research into production-ready solutions
• Take full ownership of research initiatives, from theoretical conception and algorithmic invention to large-scale implementation and production impact
• Use and develop state of the art machine learning models and algorithms
• Work on compute intense projects which involve large scale distributed pipelines
• Work in a dynamic and diverse environment involving multiple disciplines and domains
• Engage directly with data scientists and engineers’ teams to co-develop solutions for a variety of tasks and projects using different tools and techniques

Requirements:

• MSc or a PhD in CS/EE or related field
• Research industry experience of at least 3 years in machine learning- a must
• Hands-on industry experience in programming (python, java)
• Track record of excellence
• Good communication and interpersonal skills
• Ability to work independently and in a team in a fast-paced environment
• A can-do approach with a desire to tackle complex problems