Machine Learning Scientist – ORCA

Reporting to the Head of Applications and Software, as a Machine Learning Scientist you will be advancing the state of the art in machine learning using novel computation hardware. You will be responsible for researching, developing and benchmarking existing and new algorithms and applications that leverage the unique capabilities of ORCA’s quantum processors. Combining your knowledge of ML algorithms with benchmarking, applied use-cases and trends in machine learning, you will extend ORCA’s competitive capabilities with our customers and in the marketplace.

• Research, implement and benchmark new machine learning algorithms that make use of ORCA’s processors. Your focus will be on generative models (flow models, diffusion and GANs) and novel neural network architectures that make use of non-classical feature sets.
• In collaboration with clients and partners, map relevant problems to ORCA’s hardware and deliver projects demonstrating how ORCA’s technology can solve these problems.
• Contribute to ORCA’s scientific leadership by publishing research and working with the legal team to protect the IP associated with your inventions.
• Contribute to ORCA’s user-facing software stack by adding new algorithms, applications and examples

• Master’s or PhD in a relevant field (physics, computer science, etc.)
• Expertise in machine learning, with in-depth understanding of flow matching, diffusion and/or GANs
• Excellent ML-oriented programming skills (Pytorch, Python, git)
• Experience developing and benchmarking new ML models

• A publication track record in ML
• Experience working with multi-GPU models
• Industrial experience in ML applications for chemistry and biology
• Familiarity with the interplay between computing hardware and algorithms
• Experience working in front of and with customers
• Previous experience working in a start-up is desirable
• Knowledge of quantum computing

• Ability to work both autonomously and collaboratively
• Excellent communication skills – particularly in a commercial setting

Please email us at  Ensure the subject line clearly states the role you are applying for or inquiring about, and kindly attach your CV.