Deep Learning Engineer (Mid Level)

Contilio is a cutting-edge and fast growing deeptech startup based out of London, UK. We use 3D AI and big data analytics to build the intelligent control room for the $12Trn construction industry and to enable real-time payments. Our AI-based analytics platform turns site data into real-time insights on construction progress, performance KPIs & risks. Our predictive intelligence empowers stakeholders to eliminate problems & risks before turning into costly issues, wasting trillions in dollars. We are building the global category leader to shape the future of 3D semantic understanding for applications in construction, manufacturing, auto, etc.

Our exceptional team has a unique mix of industry, startup/commercial and (deep)tech experience and is backed by a globally renowned advisory board and investors.

We are now looking to add a smart, driven Deep Learning Engineer  to our London-based team. As a strong DL Engineer (with ideally computer vision experience), you will work as a key member of the machine learning team to enhance and optimize Contilio’s analytics platform, a cloud-based SaaS application that allows our Enterprise and mid-market customers to access reports and analytics on construction progress and quality in real-time, using 3D computer vision. In addition, you will work with our research partners to leverage their research and translate it into new features and products. This is an exciting engineering role and the right candidate can expect to take on a lot of responsibility within our growing team.

We are ambitious and fast growing and there is ample opportunity for development within a high performing team, solving cutting-edge technical problems in computer vision and analytics, and shaping the future of one of the biggest industries in the world which is going through massive change.

Competitive base salary and stock options for the right candidate.

What you will be doing:

  • Contributing to the enhancement and deployment of Contilio’s computer vision processing pipeline
  • Optimizing key components by evaluating, developing, training and deploying advanced machine learning and deep learning models for computer vision data
  • Coordinate closely with other tech team members and product
  • Work with our research partners to conduct projects together and leverage latest research insights

Technical skills we’d love to see:

  • Min 3-5 years of experience in designing, training and implementing machine learning and deep-learning models
  • High proficiency in Python and generating scalable, high-quality code
  • Deep familiarity with relevant frameworks, such as Pytorch and Tensorflow
  • MSc/ PhD in deep learning, computer vision, machine vision or related topics – not a requirement if you have equivalent work experience

Personal traits we’d love to see:

  • You thrive on exciting challenges and on delivering impact through what you do
  • You can work effectively and independently as a part of a dynamic team – you are collaborative
  • You have exceptional problem-solving skills and ability to translate deep science and tech into effective software and products that wow customers
  • You can and want to lead junior team members

Any of the following is a plus:

  • Proficiency in C/C++, Go, Ruby etc.
  • Experience with 3D data processing and analysis
  • Experience deploying models using Docker and Kubernetes or equivalent
  • Familiarity with deployment on AWS and Microsoft Azure
  • Work experience in startups or tech companies as well as experience leading junior team members

Apply here