Lead Computer Vision Researcher

R&D · Remote, Europe
Department R&D
Employment Type Full-Time
Minimum Experience Experienced

As a Lead Computer Vision Researcher, you’ll be working with one of the world’s largest and unique facial coding databases, leveraging the most cutting edge advancements in deep neural networks, training the most accurate and efficient machine learning models empowering computers with emotion reading capabilities. You'll be running projects and providing general advice and assistance with development of proofs of concepts for specific business use cases of our AI technology. You will be collaborating with our world renown academic partners and selective clients, sometimes travelling to project meetings and presenting your work to academic and industrial audiences.




  • Advancing company emotion tracking classifiers by utilising latest advancements in deep learning
  • Developing new behaviour tracking capabilities personally and in collaboration with other team member
  • Combining data from multiple modalities to improve overall accuracy of behaviour measurement
  • Optimising machine learning models to run on mobile devices
  • Driving research and development of latest technologies and tools in deep learning and computer vision in collaboration with our academic partners
  • Providing technology and research support in design of new products and business use cases
  • Rapidly learning new concepts in technology and related areas of our business


Qualification requirements:


  • An MSc or Ph.D. in an engineering or science field
  • Solid background in Computer Vision: 5+ years of experience developing deep learning computer vision algorithms 
  • Experience with Deep Learning on temporal data (e.g. LSTM, RNN), preferably with Keras/TensorFlow framework 
  • Solid hands on knowledge of C++ or Python, experience in speed and memory footprint optimisation is a strong plus 
  • Strong communication skills to be able to present work clearly to higher level management, experience in leading a team of machine learning experts is a strong plus
  • Solid experience of working in agile environments
  • Proficient analytical and problem-solving skills, applied towards quality and timely client delivery
  • Experience with face, facial expression and upper body gesture recognition and tracking is a plus


Technical Requirements:


  • Proven expertise with deep learning models and programming languages such as C++, Python
  • Fluent in Linux/Unix environment, solid expertise in working with AWS or GCP cloud provider
  • Hands-on experience with modern deep learning frameworks, such as TensorFlow/Keras, PyTorch, Jax or MxNet.
  • Experience with SQL, Spark, EMR and other data querying tools is a plus
  • Knowledge in parallel/distributed computing, such as GPU and TPU based model training, Kubeflow, Kubernetes, Docker is a plus
  • Experience with broad range of Machine Learning and Data Science projects is a plus


You are our perfect choice if you:


  • Are passionate about deep learning, computer vision, big data analytics, and artificial intelligence
  • Have "Can do" attitude, an energetic personality, and ability to work well under pressure in a fast paced ever changing environment
  • Have desire to learn and grow professionally in an environment that looks for and rewards achievement
  • Possess intellectual curiosity and be able to handle ambiguity
  • Take initiative, have strong work ethics and be willing to challenge the status quo
  • Work effectively independently or in a team


What we offer:


  • A chance to work in a dynamic team of very smart ML experts (scientists, engineers, data scientists and engineers), where you can truly make a difference and everything you’ll be doing counts
  • Working with the hottest technologies in artificial intelligence and machine learning
  • Budget for your own professional development
  • Attractive benefits package including unlimited holidays, fitness support and much more
  • Multinational, multilingual and fun work environment

Thank You

Your application was submitted successfully.

  • Location
    Remote, Europe
  • Department
  • Employment Type
  • Minimum Experience