Careers
We are recruiting key early hires across photonics and machine learning, who will join us in pioneering our next-gen photonic hardware. These roles are primarily in person in West London. Rayd Technologies works closely with research groups at Imperial College, EPFL and Paul Scherrer Institute in Switzerland.
This is a truly unique opportunity to join a dynamic company with a ground-breaking technology at a very early stage, and to be part of our vision to improve processing performance by many orders of magnitude. With us you will find a stimulating environment which values initiative and risk taking and is open to diversity in all its forms. We expect to grow in the coming years thus providing great opportunities for career development and personal growth.
We are looking for talented and motivated applicants. We go beyond the conventional platforms hence you should be willing to apply your knowledge, but also grow and expand your expertise as we develop the hardware. We look for applicants at all levels of expertise, from the fresh out of university to the established professional.
Open roles:
Machine Learning Engineer
More details are provided below.
Machine Learning Engineer
Location: On site in West London
As a Machine Learning Engineer, you will optimise the functionality, performance, and algorithms powering our photonic machine learning models. You will be responsible for developing novel, scalable architectures which combine the unique benefits of our hardware with software ML algorithms. We are open to receiving applications for permanent as well as temporary / internship positions.
What you’ll do:
Lead the development and refinement of novel, physics-aware machine learning architectures that harness our nonlinear physical dynamics.
Design, build and test models both on device and using in-house simulation framework, benchmarking against common datasets and end-user data.
Collaborate closely with the wider photonics and hardware team to ensure models are robust and deployable.
Research state-of-the-art machine learning & machine vision techniques and adapt them to be compatible with our hardware.
Communicate results internally and externally at meetings and conferences.
Your skills and experience:
Strong background in ML algorithm development.
Proficiency in Python and common ML frameworks (e.g. PyTorch, Jax, Tensorflow).
Demonstrable experience in designing and building novel machine learning architectures alongside performance benchmarking and model optimisation.
Deep background in fundamentals of machine learning.
Strong team player, excellent communication and teamwork skills, with an ability to articulate complex concepts clearly.
>3 years experience in Machine Learning, Computer Vision, or a related quantitative field.
Deep knowledge of state-of-the-art ML algorithms and methods.
Compensation:
Competitive salary depending on experience.
25 days paid annual leave + bank holidays.
Competitive stock options package.
Enrolment to employee pension scheme.
Annual budget for development including conferences, tradeshows and courses.
As the company grows, you will have opportunities to take on greater responsibilities.