Product Engineer, Humanloop

$80-130k

React

AWS

Python

PyTorch

Entry and Junior level

London

San Francisco Bay Area

AI powered annotation tool

Job no longer available

AI powered annotation tool

1-20 employees

B2BArtificial IntelligenceMachine LearningSaaS

Job no longer available

$80-130k

React

AWS

Python

PyTorch

Entry and Junior level

London

San Francisco Bay Area

1-20 employees

B2BArtificial IntelligenceMachine LearningSaaS

Company mission

To make programming so intuitive that automating tasks becomes as natural as teaching a colleague.

Job

Company

Role

Who you are

You care deeply about customer needs, the problems they face, and therefore the products we’re building to solve them
You're excited by our mission and the potential of machine learning and artificial intelligence
You are able to, or want to be able to, work at every level of the stack. We believe this to be the strongest indicator of extraordinary engineers
You’re excited by the ambiguity of being one of the first employees in an early-stage company
You care deeply about your growth and the rate at which you grow. The success of our company is a function of the people in our team. Your growth rate will be directly causal to Humanloop's growth rate. We spend a lot of time thinking about each other’s success paths
You get excited about learning new things, writing blog posts and going to conferences to talk about all things product and engineering

What the job involves

A Product Engineer is a customer-obsessed, product-focused, full stack Software Engineer. As one of the first Software Engineers at Humanloop you’ll lead the design, development, and operations of our products. We’re a small and autonomous team, so, you’ll end up wearing many hats and having meaningful impact
As a Software Engineer, you’ll comfortably go up and down the stack; from writing backend and frontend code, to running AWS infrastructure, to implementing whatever necessary tool or process we don’t yet have

Our take

Humanloop believes that businesses can benefit from software that better understands language, but building NLP systems requires human-annotated data and specialist expertise. Humanloop sets out to tackle this problem by building a tool that teaches AI to improve performance by using 10x less specialist expertise than existing options.

Humanloop stands out in the current market as its tool rapidly annotates data and trains & deploys natural language processing (NLP) models. What's more, Humanloop was built by researchers from the University of Cambridge, UCL, Google, Amazon and Microsoft.

Humanloop's culture includes a constant aspiration to learn & grow and all the employees share a common goal - to make programming as intuitive as possible for people with little expertise in AI and machine learning.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jul 2022

$2.6m

SEED

Sep 2020

$0.2m

SEED

Total funding: $2.8m

Company benefits

Meaningful and interesting work
Competitive salary and share options
Flexibility and control over how you work
The excitement and freedom of an early stage VC-backed startup
A £1000 book/conference allowance to invest in your learning
Regular company retreats to exciting locations

Company HQ

London, UK

Leadership

Raza Habib

(CEO)

ML PhD at UCL, Early employee at Monolith AI, Google Brain Intern.

Jordan Burgess

(Co-Founder)

Previously a Scientist on the Alexa team at Amazon. They founded Peak AI and Hostnotion.

Peter Hayes

(CTO)

Previously ML PhD at UCL and co-founder, Chief Data Scientist at Certua.

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