Machine Learning Research Engineer, London

Role: Machine Learning Research Engineer

Location: Central London, Hybrid

Employment Type: Full Time

Role Overview

As Machine Learning Engineer, you will be advancing the state of the art in machine learning using novel computing hardware. You will be responsible for developing and benchmarking new algorithms and applications that leverage the unique capabilities of ORCA’s quantum processors. Combining your knowledge of ML algorithms with computing hardware, applied use-cases and trends in machine learning, you will extend ORCA’s competitive capabilities with our customers and in the marketplace.

Key Responsibilities

• Develop and benchmark new machine learning algorithms that use ORCA’s quantum computer. Your focus will be on generative models (flow models, diffusion and GANs) and novel hybrid quantum-classical neural network architectures.
• 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 user-facing software stack by adding new algorithms, applications and examples
• Contribute to ORCA’s scientific leadership by publishing results and working with the legal team to protect the IP associated with your work.

Required qualifications, skills and experience

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

Preferred technical skills and experience

• Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum, etc.)
• Experience working with multi-GPU models
• A publication track record in ML
• Experience working in front of and with customers
• Knowledge of quantum computing

Additional requirements

• Ability to work both autonomously and collaboratively
• Excellent communication skills – particularly in a commercial setting
• Growth mindset, result-driven
• Enthusiasm about new technologies
• Previous commercial experience required.

If you’re interested in this job opportunity at ORCA, please email us at . Ensure the subject line clearly states the role you are applying for or inquiring about, and kindly attach your CV.

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