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Research Software Engineer (Machine Learning)

University of Oxford

Oxford

On-site

GBP 36,000 - 55,000

Full time

30+ days ago

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Qualifications

  • Extensive experience in machine learning frameworks like PyTorch or TensorFlow.
  • Strong publication record with ambition for top-tier publications.

Responsibilities

  • Research and adapt deep learning models for efficient processing pipelines.
  • Communicate with domain users to understand their needs and problems.

Skills

Machine Learning
Deep Learning
PyTorch
TensorFlow
ML-ops
Software Engineering
Computer Vision

Education

Ph.D./D.Phil in a relevant field

Job description

Research Software Engineer (Machine Learning)

Department of Computer Science, Parks Road, Oxford.

Full Time, Fixed-term contract until 1 April 2027

Grade 8: £45,585 - £54,395 p.a. with the potential to under-fill at Grade 7 with salaries in the range of £36,024 - £44,263 p.a.

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 Software 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 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 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.

For further details and to apply please visit:

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