Machine Learning Specialist - Oxford, United Kingdom - Archangel Imaging

Archangel Imaging
Archangel Imaging
Verified Company
Oxford, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description
Machine Learning Scientist - Part-time research contract


Joining us as a
Machine Learning Scientist, you will have an opportunity to push the boundaries of autonomous drone navigation in a friendly, cutting-edge technology company.

Following a successful research project in autonomous drone navigation we are looking to expand our team with the aim to bring our solution as a product to market.

We are also continuing our research into visual navigation to keep improving our product and need talented engineers and scientists to help drive our world-leading research.


Our drone platform will operate autonomously in challenging environments where no GPS or other navigation signals are available, in civil and military use cases.

Our team develops hardware and software to allow drones to navigate using visual information (such as visual odometry, image registration, and terrain recognition).

Furthermore, just like humans, drones need also need to be able to navigate at night.

Therefore, we are looking for a Machine Learning Scientist who wants to tackle the challenges of night-time visual navigation using state-of-the-art deep learning algorithms.


What you'll be owning:


  • Researching and developing stateoftheart algorithms to assist visual navigation at night, with a particular focus on thermaltothermal and thermaltorgb registration
  • Working on solutions that can be deployed both to the cloud (no computational constraints) and in embedded systems (strict computational constraints)
  • Testing your algorithms on flight data and analysing results to inform future improvements
  • Keeping the Algorithms & Simulations Team updated on the latest scientific literature and conferences on visual navigation and deep learning.

To succeed in this role, you must have:

  • Master's degree / PhD in deep learning for computer vision
  • Excellent Python coding skills
  • Experience with at least one of the major Python deep learning frameworks (PyTorch, Tensorflow, Keras) with a strong portfolio of development examples
  • Excellent skills in deep learning (CNN training, testing, evaluation and deployment)
  • Researching, designing, and implementing machine learning and computer vision solutions

Bonus if you have:


  • Experience with thermal and/or nighttime computer vision algorithms
  • Experience with a variety of computer vision tasks like object recognition, object detection, semantic segmentation
  • Experience developing AI / ML solutions for robotics platforms using ROS
  • Navigation and camera pose estimation algorithms: image registration, visual odometry, stereo odometry, SLAM, etc.
  • Experience deploying deep learning models to embedded and edge hardware (NVIDIA Jetson / mobile platforms)
  • Familiarity with developing scalable machine learning pipelines in the cloud (AWS / GCP / Azure)
  • Solid understanding of classical computer vision techniques (OpenCV, SVM, KNN, etc.)
  • Experience with robotics simulation platforms for data gathering (Gazebo, Airsim, Unity, etc.)
  • Software development using C, C++, C#
  • Experience working with sensors (cameras, IMU, etc.) and how to get the most out of them
  • Eligibility and willingness to undergo future full security clearance (SC)

Working with us means you will have:

  • The ability to make a measurable difference in a small company building cutting edge technology with big vision
  • Fastpaced environment with a positive, talented team
  • Forwardthinking, supportive culture with Monday paid lunch, quarterly company retreats and strategic alignment, flexible working hours and custom arrangements that matter to you
  • Exciting growth opportunities and training resources
  • Competitive compensation

Location:

Hybrid. For this part-time role, you will be expected to work in the office once a week. We offer flexible work arrangements and even fly international team members over to join us on-site for special occasions and all-company get-together


So, what's next?

Job Types:
Part-time, Temporary contract

Contract length: 6 months


Benefits:


  • Flexitime
  • Onsite parking
  • Referral programme

Schedule:

  • Flexitime
  • Monday to Friday

Work Location:
In person

Expected start date: 01/01/2024
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