Senior Software Engineer

Job Posted 11 Days Ago Posted 11 Days Ago
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London, Greater London, England
Hybrid
Senior level
Artificial Intelligence • Software
The Role
Develop core AI capabilities, solve complex problems, and ensure software quality. Collaborate with software and research engineers in a hybrid work environment.
Summary Generated by Built In

At UnlikelyAI, we are building the future of AI: one that is reliable, accurate and transparent. Our Neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing.


To meet the demands of our increasing commercial traction, we are looking for a smart, dedicated senior software engineer to join our world-class team. We are looking for someone who thrives on diving deep into code, to solve challenging and novel problems. You will have extensive software engineering experience, with exceptional coding ability ideally including experience in high-growth start-ups. 


This role will play a major role in developing our core capabilities, including working on how computers reason. You will work closely with other software engineers, research engineers and applied scientists in a heavily cross-functional environment.


Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.


Required

Exceptional coding ability in at least one of our core languages: Java/Kotlin or Python.

Previous experience working with complex algorithms and data structures

Experience in building well-tested code for production and a demonstrable history of advocating for software quality and evangelising best practices.

Experience with leading the process from ideation to production for brand new software systems.

Relevant degree: Computer Science, Mathematics, Engineering, STEM.

Bias for action — you have a natural tendency to take the initiative and make decisions.

Experience working with cloud computing (AWS preferred, but any provider is fine.)


Why Join Us?


Team - We have a world-class team of intelligent, focused, collaborative people. We're ambitious, move fast and have a lot of fun while doing it.


Vision - We have a huge vision for the future. This offers a unique opportunity to work on the foundational layers of AI but, unlike many other companies, we're not just scaling LLMs, we're focused on a novel neuro-symbolic approach.


Tech - You'll work with our novel and cutting-edge tech. Driving this forward involves solving some exciting challenges, so our team has the freedom to be creative and explore innovative ideas in an environment where our technology is evolving and maturing.


Location:

We are currently operating a hybrid scheme with a small office near Holborn tube station 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.


Equal Opportunities:

We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.

Top Skills

AWS
Cloud Computing
Java
Kotlin
Python
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The Company
London
50 Employees
On-site Workplace
Year Founded: 2018

What We Do

We are pioneering safe, trustworthy and powerful artificial intelligence. 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. Based in London, we were founded by William Tunstall-Pedoe, best known for his role in creating Alexa after Amazon acquired his first startup

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