Opportunities for permanent roles in a range of business sectors

Research Engineer

At Audio Analytic, we’ve built a market for artificial audio intelligence within the high volume consumer electronics sector, and we’ve signed a number of high profile marquee customers. We’re recognised as the leaders in the field of AI and sound recognition both by our customers and by market commentators such as IDC and Wired.

At Audio Analytic, we’ve built a market for artificial audio intelligence within the high volume consumer electronics sector, and we’ve signed a number of high profile marquee customers. We’re recognised as the leaders in the field of AI and sound recognition both by our customers and by market commentators such as IDC and Wired.

 

Primary Role

As part of the company’s research team, you will investigate and evaluate new algorithms to enhance the capabilities of our unique sound recognition system.

Responsibilities include developing new algorithms in house, identifying and reporting on state-of-the-art methods, evaluating innovative solutions on large scale field datasets, and educating others on these innovations to ensure their successful adoption into the company’s products and processes.

 

Skills

Required

  • Demonstrable skills in applying and innovating with machine learning, including deep learning, to solve real life user experience scenarios.
  • Programming, scripting and algorithm prototyping: Keras, Tensorflow, PyTorch, SciKit-Learn, Python.
  • Capacity to foresee machine learning-based solutions able to deliver on user experience specifications; desire to contribute innovation.

Optional but a plus:

  • Interest in developing deep learning solutions for digital signal processing (DSP) problems, for example audio, speech or music processing, computer vision, or time series processing.
  • Experience with audio source separation.
  • Experience with transferring knowledge and integrating a machine learning solution into product operations.

 

Personal Attributes

  • Excellent problem-solving skills, research and evaluation methodology, foresight
  • Ability to communicate deep tech to less technical stakeholders
  • Track record of academic publications is a plus
  • Enjoy contributing as a member of a team as well as using your own initiative

Education and experience

  • Two years’ working experience if you hold a Master’s degree
  • PhD entry level; or
  • Equivalent combination of education and experience.


The working experience or PhD needs to have been in a topic involving the use of machine learning, particularly deep learning, to solve a perceptual AI use case (e.g. sound recognition, speech recognition, music retrieval, video segmentation, computer vision etc.) or a signal processing use case (e.g. time series analysis, source separation, noise removal etc.)

Location

Offices are in Cambridge City centre. Casual dress code, informal and sociable atmosphere, and a good work / life balance. Most of us are currently working remotely due to COVID-19. As more people return to the office, where jobs allow, we will support flexible working in terms of days spent in or away from the office.

Diversity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Benefits

We offer a highly competitive range of benefits to help you live well, plan ahead and have fun. These include free gym membership, private healthcare, life assurance and free pizza.

How to apply

Please submit your CV with a cover letter answering the two following questions in a maximum of 100 words:

  1. Why would you like to work with us?
  2. How do your skills apply to the position?

Thank you for applying to join Audio Analytic!