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Catapult
Catapult

Founding AI Research Engineer

London On-site 5-10 yrs exp Software Development 6 employees
Sponsorship verifiedAINLPMachine LearningProgrammingPython

Requirements

Candidates should have 5+ years of experience in similar projects with a strong track record in both scientific and engineering workflows. They must also be able to read and implement current research in the field of AI/NLP.

Job Description

At Catapult, we're building personalised AI models that understand the complete context of your work across email, calendar, Slack, Notion, Google Docs, and more.


We're pushing the frontier of what's possible in AI with personalisation, memory, and deep context - to help you work better than you ever thought possible.


Learn more about Catapult here: https://www.catapult.xyz/join


The role

The founding AI research engineer must be a brilliant problem solver, researcher, and engineer — and will be instrumental in shaping the scientific and research AI direction for Catapult. The work of this role focuses our retrieval and knowledge-base systems, our reasoning models, models for reasoning about information live on screen and from other applications, and more. In each case, the founding AI research engineer will be working end-to-end on each of these projects, taking them from inception all the way to product.


The ideal candidate must not just have strong scientific and technical abilities, but the ability to learn quickly and work in a very fast-moving environment.


You’ll love this role if you enjoy…

  • Identifying and solving very challenging technical and research-level problems
  • Building products end-to-end (from hypothesis and experimentation all the way to user-facing application)
  • Bringing expertise on and keeping abreast of current research and developments in NLP, vision, and more
  • Helping identify and tackle technical challenges that may emerge across the product
  • Pushing beyond your comfort zone and maximise your potential


Requirements and experience

  • 5+ years of experience working on similar projects
  • A strong track record of solving similar problems in either an academic or industrial setting
  • A strong track record displaying the ability to manage both scientific (e.g. forming and testing hypotheses) and engineering workflows (e.g. building robust and scalable products, etc.)
  • The ability to read current research in the field (NLP/AI) and the ability to understand, implement, and ideally build upon those ideas.
  • Experience working with NLP/LLMs or other AI/ML
  • Strong programming skills (especially in Python)
  • Experience working with cloud infrastructure providers and database technologies (e.g. SQL/no-SQL)
  • Ability to self-organise and work independently
  • Based in, or willing to relocate to London (we are open to sponsoring visas)


Nice to haves

  • Deep ML/CS/statistics/physics/mathematics background or experience (research degrees or industrial research experience is ideal)
  • Some experience with C++/Rust
  • Experience working on open-source projects, working on an interesting side project, or contributing to Stack Exchange (or similar)


What we offer

  • Competitive salary andtrulygenerous stock options
  • Comprehensive Bupa Private Healthcare, and wellbeing allowances
  • Tax efficient pension scheme with salary sacrifice
  • All the equipment you need to perform at your very best
  • We sponsor work visas so that you can come build with us in person in London
  • Most importantly, helping shape the future of personalised AI!

Skills

AINLPMachine LearningProgrammingPythonCloud InfrastructureDatabase TechnologiesResearchProblem SolvingEngineering WorkflowsEnd-to-End Product DevelopmentStatistical AnalysisC++RustOpen-Source ProjectsSide Projects

About Catapult

Catapult is AI built uniquely for you, with a deep understanding of your work across every email, message, doc, meeting, transcript and more. Catapult remembers, learns, and evolves with you, helping you achieve more than you ever thought possible. We’re a focused team of founders, researchers, and engineers. Between us, we've led teams rolling out new products at Meta, built multiple startups, published papers in leading journals, taught AI at Cambridge, worked at AWS, TikTok, Imperial and UCL, and pioneered frontier technology - from quantum random number generators to privacy-focused, local coding agents.

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