Software Engineer

Key Skills

Aartificial intelligence, AWS, C++, Java Programming, Machine learning techniques, Python Programming, Software Development

Job Description

Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

The company has raised a 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.

We are building an extremely exciting AI platform and associated applications using novel and potentially revolutionary techniques.

We are looking for extremely smart and dedicated software developers of all levels of experience to help solve some very difficult engineering problems.

Required:

Degree within a related field, Computer Science, Engineering, Physics, Maths or equivalent

Experience within commercial software engineering (or extensive experience if applying for a more senior role)

Exceptional coding ability

Desire to solve really difficult software engineering problems

Ability or desire to learn and code in Java

Understanding of modern best practices for agile software development

Understanding of the architectural techniques needed to build massively-scalable systems

Desirable but not required:

4+ years of experience with Java

Experience of AWS and building scalable systems within it

Experience and ability coding in Python and C++

Understanding of the state-of-the-art in Artificial Intelligence

Understanding of modern machine-learning techniques

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.