Applied Machine Learning Research Scientist
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+3 more
Job description
Based at their Cambridge office and working with renowned academic experts and their own world-class scientific team, the Applied Machine Learning Research Scientist will build models based on convolutional neural networks for computer vision. These technologies will provide key understandings that underpin human behaviour within real-time situations., Keywords: Machine Learning, Unsupervised, Models, Decision-Making / Behaviour, Python, C++, C, Java, Scala, Maths, Tensorflow, Torch, Theano, Caffe, Computer Vision
Requirements
- Demonstrable project experience (commercial or PhD / postdoc) of using machine learning for unsupervised learning techniques (ideally convolutional neural networks and computer vision).
- Experience using one or more of the following machine learning tools (Theano, Caffe, Tensorflow, or Torch).
- Applied experience in software development using C, C++, Python, Scala, or Java.
- 1st or 2.1 degree in maths, computer science or similar from a top ranked university.
- Experience with complex Open Source development projects would be beneficial.
Benefits & conditions
This is an excellent opportunity to join this venture capital backed company as they look to grow. On offer, as well as interesting work, there is an excellent remunerations package including a wide range of benefits.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
What Are Large Language Models?
7 Most Popular Web Developer Jobs in Europe
Why Upskilling And Reskilling is Important For Developers
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production