AI Product Engineer, V7 Labs

Agents

£90-130k

Offers top 15% quartile stock options through a EMI scheme & Company wide revenue sharing bonus scheme

Elixir

Junior, Mid and Senior level

London

1-4 days a week in office (Near Oxford Circus, Central London)

Speed up ML development, automate tasks with AI, and improve efficiency.

Job no longer available

Speed up ML development, automate tasks with AI, and improve efficiency.

21-100 employees

B2BArtificial IntelligenceBig dataComputer VisionSaaS

Job no longer available

£90-130k

Offers top 15% quartile stock options through a EMI scheme & Company wide revenue sharing bonus scheme

Elixir

Junior, Mid and Senior level

London

1-4 days a week in office (Near Oxford Circus, Central London)

21-100 employees

B2BArtificial IntelligenceBig dataComputer VisionSaaS

Company mission

We exist to help turn valuable human knowledge into cutting edge AI, and play a major role in the evolution of AI as a technology.

Job

Company

Role

Who you are

Strong interest in and commitment to staying abreast of the rapidly evolving Foundation Model eco-system, and a drive to leverage these capabilities in novel, real world use cases
Experience delivering Large Language Model projects with customers, including LLM API integration, current knowledge of foundation models, prompt engineering, RAG, fine tuning, and managing AI projects
You either come from an Engineering background, or your desire to ship working solutions has allowed you to build out a range of technical solutions. You pride yourself on strong Engineering principles to build robust, trustworthy and scalable solutions
University degree in computer science, engineering, mathematics or related fields
Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders with customers and partners to match value proposition to business needs
Thrived in another fast-paced SaaS startup or scale-up during a high-growth phase

What the job involves

As an AI Product Engineer, you will sit within Engineering while maintaining a very close working relationship with our Solutions team
Your role will focus on pioneering cutting-edge applications of the latest advancements in Foundation Models to unlock features within the Go Platform
Solution ideation and presentation: You will develop and present proposals to Leadership, Product and Engineering. Our roadmap is a collaborative effort, and the AI Product Engineer will play a critical role in steering where we invest our development capacity and providing direct input into the platform’s roadmap
Enabling real world use cases: by working closely with the Solutions team, you will be able to champion key new capabilities to productionize and scale the most ambitious applications of GenAI
Technical implementation: Once a feature is scheduled into the roadmap, you will stay involved throughout the implementation. Our BE is built in Elixir, so a strong interest to learn our stack is essential, but previous experience is not required

Application process

Recruiter Screen
Meet the Hiring Manager
Meet Solutions Engineering
Take home task
Final Round - founders + culture fit

Salary benchmarks

Our take

AI is currently utilised across multiple industries, requiring companies to continuously collect, organise and label image data so that AI models will be able to adapt to new scenarios. V7 Labs is a computer vision platform that helps AI teams develop vision-based models that are learning continuously from training data with minimal human supervision.

V7 distinguishes itself in the market by condensing the most effective tools for organizing datasets into a single SaaS platform. The company says that using only 100 human-annotated examples in its toolkit can label the rest of the training data autonomously. Although its main business specialisations are in medicine and health sciences, its product is being picked up by tech companies in other sectors, and it now counts more than 300 customers including Siemens and GE Healthcare.

The startup has recently raised funding in a Series A round led by Radical Ventures and Temasek. It will use this investment to hire more engineering and sales talent, develop its product, and expand its market share.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

31% female employees

74% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 3 rounds)

Nov 2022

$33m

SERIES A

Jul 2021

$7m

SEED

Total funding: $50m

Company benefits

Top 15% quartile equity options plan through an EMI scheme
Private Healthcare via Vitality
Learning and Development wallet of £800 per year
Monthly well being and mental health budget
Personalised benefits platform via Thanks Ben
Enhanced parental leave
25 days paid holiday with unlimited additional days
4-day company-wide and 4 day departmental retreats in stunning locations
Visit London to meet us in our HQ. We have a barista & plenty of snacks
Hybrid working with flexibility or remote working
Temporary work from anywhere for one month in the calendar year
Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times
Apple hardware provided plus a £500 budget from home office equipment

Company HQ

Fitzrovia, London, UK

Leadership

Alberto Rizzoli

(Co-Founder & CEO)

Previously CEO at Aipoly, the first smartphone engine for convolutional neural network. Management & Stats grad at Cass Business School & Singularity University. Never had a real job.

Simon Edwardsson

(Co-Founder)

Studied Computer Engineering at Chalmers University of Technology. Previously Co-Founder at Aipoly and Lead R&D Engineer at Retail Solutions Inc.

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