Research Software Engineer (ML)

We are hiring a Senior Research Software Engineer based at the Department of
Computer Science, under the supervision of Professor Andrew Markham. This is a
cross-disciplinary project between the Departments of Computer Science and
Biology and the successful post-holder will be working on the NERC funded
Morphocam project. This project seeks to develop and release machine
learning/AI tools to enable precise, metrics measurements to be made on camera
trap images of wild animals.





As a Senior Research Sofware Engineer (Machine Learning), you will research,
adapt and exploit existing deep learning models and frameworks to build an
efficient and user-friendly processing pipeline. You will need extensive
experience in machine learning frameworks (e.g. pytorch/tensorflow) and ML-ops
for scaling systems into production. You will need to be able to communicate
well and work easily with domain users (e.g. field biologists) to understand
their needs and problems. You will be independent and self-driven, with a
clear approach to project management and delivery. You will also have a strong
publication record with a strong ambition towards to top-tier publications and
dataset releases.





You will hold a relevant Ph.D/D.Phil and possess experience in software
engineering development. Research experience in computer vision and deep
learning or similar is required.



Applicants will be required to upload a supporting statement, setting out how
you meet the selection criteria.





**The closing date for applications is 12 noon on 15 July 2024.** Interviews
are expected to be held in July.





**We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer,
holding an Athena Swan Bronze Award, HR excellence in Research and Race
Equality Charter Bronze Award.**





Our staff and students come from all over the world and we proudly promote a
friendly and inclusive culture. Diversity is positively encouraged, through
diversity groups and champions, for example
http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a
number of family-friendly policies, such as the right to apply for flexible
working and support for staff returning from periods of extended absence, for
example shared parental leave.





Demonstrating a commitment to provide equality of opportunity. We would
particularly welcome applications from women and black and minority ethnic
applicants who are currently under-represented within the Computer Science
Department. All applicants will be judged on merit, according to the selection
criteria.