Junior Applied Research Engineer (Graduate)

Company Description

Every company in the world, needs to understand who they are doing business with.  

We are re-imagining how humans find, read and distil knowledge from the internet – at unprecedented scale and accuracy, to answer critical questions about suppliers, donors, investors and third parties. We are addressing a sector-independent problem for a global market. 

We are pioneers, working at the forefront of AI and applied research, to build a fully distributed, heterogeneous and scalable system, using the latest technologies. We help the world ‘do better business, faster’. Our clients include the world’s leading charities, universities, law firms and financial institutions. Using Xapien, in minutes, they can do work that previously took hours and days.  

We have over 150 customers, in 3 continents, last year we doubled in size and this year we plan to triple. Our investors include tech founders, professional investors and recognised institutions, including Sequoia Capital. 

If you are bright, driven and excellent at what you do, then we would love to explore you building your career with us.  

Job Description

The Role We are looking for a detail-focussed Applied Research Engineer to help us develop the next generation of the algorithms at the heart of our system. Our product is experiencing tremendous growth, and we need to ensure that we continue to deliver accurate insights in a rapidly changing landscape.

This role requires someone who thrives in a fast-paced environment where continuous innovation and refinement are key. You will be working closely with our product team to ensure our algorithms and models capture their domain knowledge and expertise appropriately.

This is an ideal opportunity for someone looking to kick-start a career in AI.

Core responsibilities:

• Designing, building, and testing AI-powered experiments working with leading-edge ML models.
• Building and deploying AI-powered microservices following standard design patterns.
• Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment and scaling processes.
• Statistical evaluation of candidate systems against functional and non-functional requirements, optimising for performance and cost-efficiency.
• Collaborating with our wider engineering team
• Demonstrating a desire to continuously learn & improve.

Qualifications

You need to have:

• Being a small company, candidates need to be able to work autonomously, be comfortable without micro-management, be flexible and have initiative to solve problems.
• A rigorous and scientific approach to problem solving
• A demonstrable track record for learning and mastering complex topics
• Keen attention to detail
• Strong verbal and written communication
• Demonstrable experience working with Python and good Python knowledge
• A good understanding of statistics
• A strong understanding of algorithm optimisation
• A strong foundation of working with command-line tooling and knowledge of unix

What you will gain out of it:

• We will provide you with support and training in everything you need. This will include background understanding of the risk and compliance sector, our product, development, AWS infrastructure, log analysis and all other related skills.