Research Engineer

Posted 10 January by Blackrock Search Ltd
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Who are we?

Blackrock Search is a specialist recruiter of technology, sales and consulting professionals.

We are passionate about supporting candidates in identifying and attaining their career goals and our experienced and professional consultants will support during every step of your application process.

Who is our client?

Our client are pioneers of artificial audio intelligence. By empowering technology with the sense of hearing beyond speech and music, enables their customers to create new and valuable experiences for consumers.

You’ll be a key part of a highly innovative company working at the cutting edge of consumer technology. We are looking for people who thrive as part of a dedicated and innovative team, love challenges and are passionate about audio/sound, DSP and Machine Learning.

What is the role?

We are looking for a research engineer for a client based in Cambridge. You will be part of the company’s R&D division, you will contribute to researching and evaluating new algorithms to push the limits of their unique sound recognition system. Responsibilities include developing new algorithms in-house, identifying and reporting on state-of-the-art methods, and evaluating both types of solutions on large-scale field data sets.

What Skills Do I need?

Required:

  • Demonstrable skills in Machine Learning applied to Audio Signals.
  • Demonstrable experience dealing with at least one type of Machine Learning algorithm (e.g., Deep Neural Networks, Hidden Markov Models, Support Vector Machines, Decision Trees etc.) applied to the processing of Audio Signals.
  • Good knowledge of Digital Signal Processing for audio signals.
  • Scripting and algorithm prototyping: Python, bash.
  • Development under Linux/Unix mandatory, Windows optional.

Desirable:

  • Experience with at least one standard Machine Learning package, amongst but not limited to: Tensorflow, Keras, MXNet, SciKit-Learn, Torch, Theano, HTK, Kaldi etc.
  • Signal processing with microphone arrays.
  • Advanced acoustics, e.g., sound field processing.
  • Programming: C/C++ coding and code optimisation.

Personal Attributes

  • Ability to deliver on research and evaluation methodology
  • Good communication skills
  • Excellent problem-solving skills
  • Track record of academic publications is a strong plus
  • Enjoy working as a member of a team and using your own initiative
  • Self-confident and highly motivated
  • Ability to deal confidently with a variety of people at all levels
  • Able to manage own workload and meet deadlines
  • Good organisational skills
  • Good standard of written and spoken English.

What qualifications do I need?

Must have either a Master’s degree with two years’ industrial experience, or a PhD in one of the following topics:

  • Machine Learning applied to Audio Signals
  • Digital Signal Processing of Audio Signals
  • Automatic Speech/Speaker Recognition
  • Music Information Retrieval
  • Acoustic Events Detection
  • Statistical Speech Synthesis
  • Thematic Indexing of Audio tracks (e.g., Speaker Diarization, Acoustic Segmentation of Video Documents etc.).

Next Steps?

Please apply using the link below and one of our consultants will be in touch.

Reference: 36998682

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