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Graph machine learning lead

  • Builder.ai - What would you Build?
  • Full time
  • United Kingdom
  • 20/07/2021

About us

Innovation is fuelled by the power of possibilities. A few years ago, it was virtually impossible to innovate because building software needed a degree, it was simply too expensive, too complex, too risky and ultimately too inefficient. That’s why only 16% of projects were ever done on budget and 78% failed.

We're changing that. We’re flipping software development on its head and kicking out the notion that you need to be an expert or do boot camps to learn how to make your app. Builder.ai’s platform lets you order the perfect software app for whatever problem you’re trying to solve. Our AI powered assembly line brings together Lego-like reusable features and experts from around the world to bring world-class ideas to life – ANYONE’s world-class ideas.


Building software needs to be like ordering pizza – pick what you want, get recommendations for the features you need and simply wait till it's cooked and ready for you.

Our human-assisted AI platform helps anyone build, run & scale tailor-made software. Everyone from the bakery in Riyadh and nursery in London, to large fortune 100 companies like the BBC or Pepsi.


Life at Builder

It’s a place where everything moves at lightning pace and most definitely not for the faint hearted. We celebrate diversity, push everyone to do more with less and yet provide a culture that allows everyone to experiment, push boundaries and learn by doing. Every Builder runs to our core value system of HEARTT (Heart, Entrepreneurship, Accountability, Respect, Trust & Transparency) and we’re always looking for team players, with a point of view, a sense of humility and a let’s-get-stuff-done attitude.

Our scale up is at the intersection of a quirky startup where designers and machine learning specialists work on problems together to savvy commercial teams working with finance folks to invent new business models. #WhatWouldYouBuild


Why We Need This Role

We have created and deployed the Builder Knowledge Graph (BKG) that serves as a repository of all information on the software domain. Our BKG powers many important AI applications around estimating costs and timelines of software, giving recommendations to customers during software configuration and automating steps in the software assembly and execution. However, we have only scratched the surface of what is possible in this space.

We would like an experienced hand to come in and lead our future efforts to test the art of what is possible in using AI to drive the automated specification, assembly, management and the execution of software projects.

What will they be working on:

  • Exploit the knowledge in BKG at finding innovative applications of AI during end to end automated software management
  • Advance our state of the art in using representation learning to create embeddings that power various machine learning applications
  • Explore ideas around incorporating context to build personalised recommendation algorithms for targeted customer suggestions
  • Exploring the use of reinforcement learning or similar continuous learning principles to evolve the BKG
  • Take ideas from concept (possibly in academic literature) to production

Requirements

  • 6+ Years experience
  • 2+ years leading a team of at least 2-3 people
  • PhD in a scientific discipline with significant programming foundations such as Computer Science, Engineering, Physics among others
  • Proficient in programming in at least one high level programming language. Python experience preferable
  • At least 2 years of production experience in conceptualising, developing and productionising AI systems
  • Experience in building personalised recommender systems
  • Core understanding of representation learning
  • Core understanding of deep learning principles applied to structured and unstructured data
  • Experience in working within cross functional teams
  • Understanding product priorities and goals and aligning research, development and execution initiatives to such goals
  • Generating and testing hypotheses for future product features
  • Some background in knowledge graphs, optimisation and reinforcement learning would be very beneficial

Benefits

  • Health and wellness benefits
  • Performance-based bonuses and stock options
  • Employee friendly policies
  • Generous vacation and time off benefits, including paid holidays
  • Generally flexible working hour.

About Builder.ai - What would you Build?

In everything we do, we believe in pushing the boundary of conventional thinking, to look at every problem differently and to move beyond tried and tested routes. We enable our customers to build without limitations and we encourage our people to do the same with our products, our cultur...

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