Senior Applied Scientist
Unlikely in London
Unlikely AI is a contrarian Artificial Intelligence start-up founded by William Tunstall-Pedoe . William is best known for his key role in the creation of Alexa following the acquisition by Amazon of his first start-up, the voice assistant company Evi. Unlikely AI is his next start-up with ambitions to exceed that earlier success.
We are building an extremely exciting AI platform and associated applications using novel and potentially revolutionary techniques. The company has just raised a very large ($20m) seed round reflecting the excitement investors have in the technology, team and potential of the business. We are looking to build a world-class technology team to realise the extraordinary possibilities of what we are doing.
Applied Scientists at Unlikely AI, work the full project lifecycle: from literature to POC to production. You will have a key role in delivering products, starting with literature review, creating proof of concepts using cutting edge technology including the latest Machine Learning techniques, collaborating with colleagues to implement and test your ideas, and helping deliver your solutions to production.
As a Senior Applied Scientist you will help in providing technical leadership within Applied Science and across the company.
In addition to this, you will also:
Convert cutting edge research into real products
Design, build and experiment with cutting edge technologies
Drive the design, development, and execution of scientific research projects
Write software that is built and deployed in production systems
Communicate complex solutions to colleagues
Analyse & inspect large scale datasets
Required:
6+ years of hands-on experience in deep learning
2+ years of experience applying deep learning to NLP for example Large Language Models LLMs,Sequence to Sequence models such as Neuro - Machine Translation (NMT) and seq2seq parsers.
Experience utilising & deploying transformer modelsDeep knowledge of machine learning fundamentals
Strong coding skills in Python, including the use of pytorch or tensorflow
Enthusiasm to learn and get up to speed with cutting edge technologies which you may not already be deeply familiar with
Strong verbal and written communication skills
Cloud
A clear track record of mentorship and coaching others
Desirable:
Use of Python libraries that encourage best practice such as pytest, pylint, black etcML OpsDocker, K8s
Start-up experience
AWS
Please note this role is not a pure research role and does not involve the creation of academic literature, but you should be very comfortable with reading and utilising academic papers and applying these concepts in your work.
Location:
We are based in London. After two years of operating completely remotely during COVID we are now operating a hybrid regime where we have a small office near Holborn tube station which is available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using slack and zoom.
Compensation:
Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.