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Computer Vision Engineer

Salary:
34,065 P.A. ?
Location: London
Company: Disperse
Hours: Full time
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What Disperse does

Ever wondered how skyscrapers like The Shard or The Gherkin get built? Disperse uses AI and computer vision to revolutionise the construction of iconic buildings around the world, such as the upcoming 22 Bishopsgate - the UK's second tallest building.

Join a creative, conscientious and proudly diverse community of AI researchers, software engineers, architects and designers dedicated to helping build the skylines of tomorrow.


Working as a Computer Vision Engineer at Disperse

You'll work towards applying your knowledge and expertise to shape the future of the construction industry and to have a direct impact on productivity.

You'll use and craft state-of-the-art deep learning algorithms, build and demonstrate interactive prototypes, conduct rapid software prototyping, and deploy your algorithms in our production system. You will be given lots of ownership from day one and will work closely with our Computer Vision research group and our diverse, multi-disciplinary Product and Engineering team.

You'll also be part of a fast-growing team in our London office, which means it's up to you to define the culture and to nurture future engineers that join.

What about the COVID-19 pandemic?

Since our software enables remote work, we've been essential in keeping construction sites operating safely during the crisis - which is why we need engineers like you more than ever! Most of Disperse is currently working from home and we expect this to last for the rest of the year. If you can't make it to London until next year then that's not a problem, as many of our employees have returned to their home countries until the pandemic is over.

Our culture

As clichéd as it may sound, we're very proud of the people we have and the close-knit, family culture we've built across London, New York, Sarajevo and Islamabad. Despite the distances, we're united through the passion with which we approach our goals and the fun that we have along the way. We always look out for each other, no matter what. The following should give you a good idea what type of culture you'd be joining:

  • We encourage proactivity and taking full ownership of problems and initiatives. We don't believe in micromanagement. Instead, we let you pave your own path and give you the space to continuously learn and grow even if it means taking a few detours.
  • We support each other. If a process breaks or if you're struggling, you can always count on the people around you and the people far away from you, to help you get back on track.
  • We run on feedback: direct and transparent praise and constructive criticism, communicated with the best of intentions. There is no other way to learn!
  • Ideas and approaches are always judged on merit rather than source. We welcome discussions and challenges. This way everyone makes a tremendous impact no matter the role.

Requirements

  • You have a Master's degree and 2 years of experience OR a PhD in Computer Science, Engineering or a related technical field
  • You are a master at manipulating large data sets of videos and images.
  • You have excellent programming and debugging experience in Python.
  • You have practical experience in one or more neural network frameworks (e.g. Tensorflow, Pytorch).
  • You have strong communication skills - you can summarise the complex, liaise with your fellow Computer Vision engineers, and explain your work in simple terms to your other colleagues.
  • You're curious and self-driven; you don't accept the status quo and are always looking for creative solutions.

Benefits

  • We are passionate about staying at the forefront of computer vision research and host weekly academic reading groups, led by leading researchers in the field.
  • We host a bi-annual, company-wide Hack Week. Put your day job on hold and work on whatever you want, with whomever you want, then present what you've made to the entire company. Great for dusting off that cool idea you've been pondering but never had the time to build.
  • Competitive salary and a generous equity package, along with a desk at our beautiful central London office. Our benefits also include a company laptop, flexible working hours, work-from-home policy, and Vitality health insurance. We can also be extra-flexible if you have (or are planning to have) young children
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