onsite

AI Research Engineer

Graphcore is seeking an AI Research Engineer to contribute to cutting-edge research in machine intelligence, focusing on areas like Deep Learning and Generative Models. The role involves developing new machine learning algorithms and prototyping efficient implementations, with a strong emphasis on publishing work and collaborating with internal and external research groups.

About the role

Role

Help the current effort of the AI research community, and contribute to cutting edge research in machine intelligence, starting from areas including Deep Learning, Generative Models, Reinforcement Learning, and Evolutionary Computing.
Develop new machine learning algorithms, and prototype new architectures and techniques for efficient implementations of increasing complexities.
Contribute to the progress of AI research, with the possibility of addressing both the understanding of the basic theory and the practical use of new techniques for a wide range of possible applications.
Participate to work to identify new directions of AI research, with the aim of contributing to new groundbreaking approaches to computational intelligence.

Responsibilities

Contribute to the definition of research activities and conduct the corresponding investigations in specific areas of fundamental and applied research, aiming at publishing the work for discussion within the wider AI research community.
Collaborate with the rest of the team and with other groups within the company, to develop new ideas and identify research opportunities.
Interact and work with external institutions and research labs.

Key Skills

MSc or PhD in Electrical Engineering, Computer Science, Physics, Statistics, Mathematics or related fields, with a strong basis in numerical analysis and probability theory.
In-depth understanding of modern machine learning algorithms and deep learning architectures.
Basic coding skills (Python, C/C++) and experience of algorithm implementation in modern machine learning frameworks (TensorFlow, PyTorch).
Strong communication skills, and willingness to work in a collaborative environment.

About the role

Role

Help the current effort of the AI research community, and contribute to cutting edge research in machine intelligence, starting from areas including Deep Learning, Generative Models, Reinforcement Learning, and Evolutionary Computing.
Develop new machine learning algorithms, and prototype new architectures and techniques for efficient implementations of increasing complexities.
Contribute to the progress of AI research, with the possibility of addressing both the understanding of the basic theory and the practical use of new techniques for a wide range of possible applications.
Participate to work to identify new directions of AI research, with the aim of contributing to new groundbreaking approaches to computational intelligence.

Responsibilities

Contribute to the definition of research activities and conduct the corresponding investigations in specific areas of fundamental and applied research, aiming at publishing the work for discussion within the wider AI research community.
Collaborate with the rest of the team and with other groups within the company, to develop new ideas and identify research opportunities.
Interact and work with external institutions and research labs.

Key Skills

MSc or PhD in Electrical Engineering, Computer Science, Physics, Statistics, Mathematics or related fields, with a strong basis in numerical analysis and probability theory.
In-depth understanding of modern machine learning algorithms and deep learning architectures.
Basic coding skills (Python, C/C++) and experience of algorithm implementation in modern machine learning frameworks (TensorFlow, PyTorch).
Strong communication skills, and willingness to work in a collaborative environment.