ML Engineer, Grasp
Recommender Systems
+ Sign-on stock options bonus
3-5 days a week in office
Tools to Learn Faster
Job no longer available
Tools to Learn Faster
1-20 employees
Job no longer available
+ Sign-on stock options bonus
3-5 days a week in office
1-20 employees
Company mission
Increase the rate at which humans learn.
Role
Who you are
- STEM MSc or higher
- 5+ years experience in Machine Learning, in particular Natural Language Processing (PhD counts)
- Recent, intensive experience in Recommender Systems
- You are well versed in how to leverage large language models in your area of expertise
- A track record of framing problems, prototyping solutions, and integrating them into larger systems
- Professional – timely, honest, team-player etc
- Signs that you might be the right person
- You enjoy working on hard problems
- You can learn new areas quickly and thoroughly
- People tell you that you can explain difficult things in a simple way
- You think you have a good sense of what’s “good enough”
- You have a reputation for getting stuff done
- You’re a curious person
Desirable
- STEM PhD
- Research publications or presentations
- Startup experience
- Long term member of a research community (meetup/signal/telegram groups etc.) in relevant/adjacent fields
- Experience in any of the following: GNNs, neural IR, knowledge distillation, semantic networks
What the job involves
- We are developing a hyper-personalised learning tool for adults, it’s not a chatbot but language is a critical consideration
- Your work would lie at the intersection of knowledge representation, resource recommendation, LLMs, neural IR, and pedagogy
- This R&D position focuses on new solutions rather than optimisation
- You’ll have a lot of freedom in how you work; you will be told the problems to solve rather than the approaches to take
- Our mission is to increase the rate at which humans learn. We are currently in closed beta, iterating with a core group of passionate users, and have recently raised $4M+ from investors including Balderton, Point9, and Mozilla
Salary benchmarks
Our take
Grasp, a London-based learning tools provider, is dedicated to equipping individuals with the tools necessary to unlock their full potential and achieve personal freedom. With a bold vision to become the ultimate centre of learning, Grasp is committed to enabling anyone, regardless of their starting point, to progress from novice to master in their chosen field.
Despite being in the developmental stage, Grasp has already made significant strides. The company has successfully secured funding and has become a member of Makerversity, a community comprising over 350 world-learning entrepreneurs, creators, and innovators. This affiliation provides Grasp with a valuable network of like-minded individuals who are collectively striving to redefine the landscape of education.
Grasp is actively shaping the future of education. Through its dedication to innovation, collaboration, and accessibility, it seeks to bridge the gap between learners and mastery. With its solid foundation and the support of an influential community, Grasp is poised to make a lasting impact on the learning landscape, opening doors for individuals to pursue their passions.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- A mission you care about.
- Employee stock options plan for exceptional performance.
- Brand new Macbook Pro
- Makerversity access: 3d printers, workshops, events, etc.
- Half-price Virgin gym membership
- Short feedback loops, ultra-aligned team, direct user contact.
Company HQ
London, UK
Leadership
Edward Matthews
(Founder)7th employee @ Revolut. Technology investor at DST Global. ML background.
Share this job