Data Scientist / ML Engineer, Grasp

Salary not provided

SQL

React

Docker

TypeScript

Python

Junior and Mid level

London

More information about location

3-5 days a week in office

Tools to Learn Faster

Job no longer available

Tools to Learn Faster

1-20 employees

B2CArtificial IntelligenceEducationMachine Learning

Job no longer available

Salary not provided

SQL

React

Docker

TypeScript

Python

Junior and Mid level

London

More information about location

3-5 days a week in office

1-20 employees

B2CArtificial IntelligenceEducationMachine Learning

Company mission

Increase the rate at which humans learn.

Job

Company

Role

Who you are

Bachelors/Masters/PhD in a STEM field (Mathematics, Computer Science, Engineering, Physics, Statistics or equivalent)
Mastery of Python and SQL
A proven track record applying Statistical NLP methods, especially deep learning and text-embedding based solutions, to solve real world problems
Strong reason to believe that you can setup your own ML deployment system with the help of at most one software engineer
2+ years experience incorporating large language models into solutions
Probability Theory
Information Theory
Applied Probability & Statistics
Deep Learning
Reinforcement Learning,
Partial Observability
Excellent communication skills
Confident in a high-pressure environment
You love learning and want to be able to do it faster

Desirable

You have solved image/video information extraction problems
You are familiar using GCP for managing private repositories and GPU access
You're proficient with any other part of our technology stack: TypeScript, React, Docker/K8s DevOps
You are experienced working with events-based systems
You have worked at a fast-paced startup

What the job involves

As the first full-time data scientist, you will take responsibility for our machine learning problem space
You will design and implement production solutions to problems, from scratch
Currently the majority of our ML problems are Statistical NLP problems
It will be hard but rewarding work

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.

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