Software/Machine Learning Research Engineer

We are looking for Software/Machine Learning Research Engineers, across experience levels, to contribute to machine learning based research projects to speed up, cut costs, and increase the effectiveness of drug discovery research. You will be working on the cutting edge of a new era of biological technology to deliver a transformative social impact on the lives of millions.

RESPONSIBILITIES

• Develop the architectures and training algorithms of machine learning models.
• Analyse results to inform future experimental directions.
• Implement and scale training and inference engineering frameworks.
• Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.

Depending on your experience:

• Provide technical mentorship and guidance, advising on projects, and shaping our research roadmap based on your deep technical expertise.
• Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems.

QUALIFICATIONS

• PhD in Machine Learning, Computer Science, or equivalent practical experience in a technical field.
• A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.
• Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
• Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases.
• Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics).
• Experience working with biological or chemical data and biological or chemistry software.
• Experience working with real-world datasets.
• Experience with ML on accelerators.
• Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL.

Location: Switzerland & London
Pay: Depends on experience
Work set-up: Hybrid, 3 days on site a week

If you are interested in this role, please apply directly or reach out to Damian at (see below), and we'll be in touch shortly.