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We are seeking a talented and proactive Computer Vision researcher to join our team. This role involves testing & developing new users’ face detection and tracking systems using machine learning, with a focus on deployment in real-time capable systems.

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Job Description

Audioscenic, a cutting-edge audio engineering start-up, has developed listener-adaptive 3D audio technology that utilises computer vision to track and deliver audio beams directly to the users’ ears in real time, creating an incredibly immersive spatial audio experience without the need for wearables or headphones. Check out this video for a demo: https://youtu.be/OYIY0a56Fw4.

We are seeking a skilled Computer Vision engineer to join our team and contribute to the development and deployment of cutting-edge machine learning solutions. In this role, you will be responsible for developing and implementing state-of-the-art algorithms for user detection and tracking. You are encouraged to explore using transfer learning techniques to optimise the robustness of the detection and tracking system.

 

Additionally, you will collaborate with the engineering team to deploy machine learning models in embedded systems and test and develop solutions with special focus on real-time performance.

As a young, VC-backed start-up, we offer a friendly and collaborative work environment, a wide range of tasks, training opportunities, career progression, and international travel. Lab-based work is required for the tuning and development of our systems, but we offer flexible work arrangements when convenient.

If you are a driven candidate with a passion for cutting-edge technology and a desire to work with a dynamic and innovative team, then we want to hear from you. This is a unique opportunity to help shape the future of audio engineering and work with a company committed to pushing the boundaries of what is possible!

Education and previous experience

We are looking for a candidate with a Master or graduate degree in Computer Science, Electrical Engineering, or equivalent experience in a similar field. The ideal candidate will have ~2 years of experience in developing and implementing machine learning solutions applied to computer vision systems.

 

Skills and Interests

• 2+ years of experience in machine learning applied to computer vision

• Strong programming skills in C++ and Python

• Experience with deep learning frameworks such as PyTorch, Tensorflow

• Experience with computer vision libraries such as OpenCV, Dlib, UltraFace, MNN

• Experience with deploying machine learning models in embedded systems

• Capable of concise communication within a multidisciplinary team

• Ability to work independently with a proactive problem solving approach

• Capable of using a principled approach when conceptualising and evaluating ML solutions

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We offer a competitive salary, comprehensive benefits package, and opportunities for career growth. If you're passionate about advancing the field of computer vision and excited about working on cutting-edge technology, we encourage you to apply.

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Apply

To apply please email your CV to careers@audioscenic.com