Senior Backend Engineer, V7 Labs

Darwin

£80-130k

+ Equity. London salary: £90k-£130k

AWS
Docker
Scala
Kafka
Go
Postgres
Ruby
Kotlin
Elixir
Haskell
Rust
RabbitMQ
Phoenix
Flow
Data Flow
Clojure
F#
Golang
Senior and Expert level
Remote in EU, UK
London
V7 Labs

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

Open for applications

V7 Labs

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

21-100 employees

B2BArtificial IntelligenceBig dataComputer VisionSaaS

Open for applications

£80-130k

+ Equity. London salary: £90k-£130k

AWS
Docker
Scala
Kafka
Go
Postgres
Ruby
Kotlin
Elixir
Haskell
Rust
RabbitMQ
Phoenix
Flow
Data Flow
Clojure
F#
Golang
Senior and Expert level
Remote in EU, UK
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.

Role

Who you are

  • Bachelors or higher in Computer Science or a related field with a strong portfolio of projects
  • A backend engineer with strong architectural design skills
  • Expertise in functional programming, with working experience using Elixir
  • A strong interest in ML and applying AI to solve problems
  • Infrastructure management experience at scale; you should be comfortable in using AWS and terraform
  • Proficiency in queue management and observability, utilizing RabbitMQ as our primary tool
  • Experience with orchestration tools like Docker
  • Fluent in English

What the job involves

  • We work with billions of training data images to leverage some of the world's most complex and general purpose AI models. Our back-end development is world-class and not short of challenges
  • Team’s mission: Design, build and orchestrate backend services that enable our customers to train and leverage AI models in an elegant and performant way
  • Technologies we use: Elixir, Phoenix, Postgres, RabbitMQ, Docker, AWS
  • Join the team in building solutions to speed up the time to complete annotations tasks
  • Be the go to backend engineer in the team responsible for the data flow of the AI features, both from a codebase point of view and infrastructural one
  • Take ownership of backend tasks related to our model training and inference systems, focusing on enhancing visibility and minimising costs
  • Upgrade/Redesign our autoscaling system for model interference
  • Facilitate seamless integration between V7's web application and our AI system, serving as the crucial link to optimise our system for labeller’s speed
  • Employ orchestration techniques to oversee backend tasks and jobs, guaranteeing that the models provided to customers are sufficiently resourced for efficient operation

Application process

  • 1st Hiring Manager Interview
  • 2nd Take Home Challenge
  • 3rd collaborative technical zoom interview
  • 4th Co-Founder Values interview

Salary benchmarks

Backend Engineer

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Insights

Top investors

31% female employees

74% employee growth in 12 months

Company

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

Funding (last 2 of 3 rounds)

Nov 2022

$33m

SERIES A

Jul 2021

$7m

SEED

Total funding: $50m

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.

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Kirsty

Company Specialist at Welcome to the Jungle