Staff Applied Scientist at Unlikely AI
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Unlikely AI
Staff Applied Scientist
machine learning
RAG
Deep Learning
At Unlikely AI, we're seeking a visionary Staff Applied Scientist to help lead the charge in technical leadership within the Applied Science team and across the company.  Your work will be at the forefront of scientific discovery, guiding projects from literature to POC to production, spanning the entire lifecycle of a project, and harnessing the latest advancements in Machine Learning. This is an IC role with mentoring & coaching responsibilities to effectively upskill team members.
The main areas of focus will be in neurosymbolic AI, complex reasoning and planning for fully explainable AI systems.Â
What You’ll Do:
Convert cutting-edge research in neurosymbolic AI and transform it into tangible, impactful language generation products.
Design, build, and experiment with hybrid neurosymbolic systems to push the boundaries of what’s possible in language generation.
Lead Research Projects: Drive the design, development, and execution of high-impact scientific research projects.
Code for Impact: Write robust software, integrating neural and symbolic components for deployment in real-world production systems.
Collaborate & Communicate alongside a team of brilliant minds, articulating complex solutions with clarity and precision.
Analyse & inspect large scale datasets for both neural training and symbolic extraction.
Required:
Deep learning expertise to include 6+ years of hands-on experience in deep learning and 2+ years applying it to language generation, including working with Large Language Models, neural-symbolic integration and knowledge representation.
Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models
Deep knowledge of machine learning fundamentals
Cloud experience
Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with.
Excellent verbal and written communication skills
Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders.
A proven track record of mentoring and coaching others.
Desirable:
Use of Python libraries that encourage best practices such as pytest, pylint, black etc.
Experience with symbolic reasoning engines and integration with neural networks.
Strong technical writing skills as evidenced by relevant publications or blogs.
Start-up experience.
Proficiency working with cloud platforms for deploying hybrid AI systems.
Please note this role is not a pure research role but you should be very comfortable with reading and utilising academic papers and applying these concepts in your work.
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.
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.
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.