Applied Research Scientist

  • Data Scientist
  • Permanent
  • London, UK

Emotech is currently raising the state-of-the-art in multiple areas of audio-visual processing. Our projects include topics from a complete AI Speech Technologies portfolio (VAD, Language Recognition, Speaker Recognition, TTS, etc), multilingual automatic speech recognition using hybrid and end-to-end (E2E) architectures to Digital Humans with realistic facial expressions using Computer Vision and latest GAN approaches. We are looking for passionate Applied Research Scientists who are driven by recent research developments and can turn state-of-the-art research work into solutions used by customers worldwide.

General Description of the Role

As an Applied Research Scientist, you will be working with the full R&D pipeline. You will be delivering a complete research plan, starting with essential literature review, creating proof of concepts using the latest Machine Learning algorithms, collaborating with other scientists to research and test your ideas, and helping software engineers deliver your solutions to customers worldwide. The role is not limited to a specific research field and you will have the opportunity to work in different research fields over time. You will also be encouraged to publish your work at relevant conferences.

As an Applied Research Scientist, your main responsibilities:

  • Conduct applied research in some of the most challenging ML problems both individually and as a team
  • Collaborate closely with the research team to turn research into working solutions
  • Develop and run experiments to identify the most effective solutions
  • Deliver robust Machine Learning solutions in a timely manner, responding to Emotech’s business needs
  • Optimise your code to fit different requirements (Multi-core, Multi-thread, Parallel execution, GPU)

Minimum Requirements:

  • Minimum of 1 year of research & development experience in industry
  • Proficient knowledge of Tensorflow, PyTorch or similar Deep Learning frameworks
  • Deep knowledge of a programming language (e.g. Python, Rust, C++11) in Linux environment; working knowledge of multiple languages
  • Ability to write high quality code
  • Experience in relevant fields, such as Computer Vision, Speech Processing, Machine Learning and Deep learning
  • Good Data Management skills to handle large amounts of training/validation data
  • Masters Degree or higher in Computer Science or other relevant area
  • Strong grasp of data structures and algorithms

Advantageous:

  • Extensive experience with state of the art Deep Learning architectures, like ResNets, GANs or transformers.
  • Experience with Speech Recognition either using Kaldi toolkit or wav2vec models.
  • Commercial experience with serving out DL models using Tensorflow or PyTorch etc.
  • Publications in top-tier conferences (CVPR, ICCV, NeurlPS, ICASSP, InterSpeech etc) or journals.
  • Arabic speaker is a plus.

What we offer: Emotech is a flat-structured and London based startup. We want each member to be well taken care of and have the capability to grow with the team. You are welcome to suggest any other benefits in addition to all of these in the following!

· Autonomy to make vital decisions and offer solutions that have an impact on company development and the AI world

· Competitive salary package including company equity

· Performance bonus

· Pension scheme (NEST)

· Medical insurance (BUPA UK, private healthcare)

· Work with diverse team with extensive domain expertise, some of the brightest & highly reputable minds in AI, software development, mechanics, business and investment

· Collaboration on various projects with renowned universities, including CMU, UCL, University of Oxford, University of Cambridge, Imperial College London & University of Edinburgh

· Internal knowledge transfer to explore multi-modality, ASR, NLP, computer vision, software architecture and more

· Patent application (registration & legal consultancy)

· Working visa application (application & legal consultancy)

Emotech is an equal opportunity employer. We are committed to ensuring fairness of treatment, dignity, work-life balance and the elimination of all forms of discrimination in the workplace. We are building a diverse culture and workforce where is made up of inclusive groups of diverse people and treating all employees and job applicants equally and irrespective of their race, religion, color, nationality, culture, gender, sexual orientation, age, marital status, or disability.