Deep Learning Engineer, V7
Computer Vision
£40-70k
0.1-0.01% Equity
AI agents getting real work done
Job no longer available
AI agents getting real work done
21-100 employees
Job no longer available
£40-70k
0.1-0.01% Equity
21-100 employees
Company mission
We’re building AI agents that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.
Role
Who you are
- Experience in deep learning, from understanding the underlying math, to the ability to illustrate landmark papers within the vision domain (given enough prep time)
- Evidence of individual contribution to challenging DL/ML projects
- A CV that demonstrates an early interest in computer science
- A curious, scientific mind
- Fluent in English
What the job involves
- We're based on PyTorch, our BE is in Elixir (erlang), and FE is Vue.js. We make GPU machines available both at our office or in the cloud. We are regular CVPR/NeurIPS/ECCV attendees and in normal times attend as a team
- What you're expected to build with us:
- General purpose models
- Instance and semantic segmentation (centroid approaches, high-fidelity semantic segmentation for labelling)
- Multi-task models (eg. Taskonomy and related papers)
- Auto-ML in vision
- Ultra-large model backbones (eg. MOCO and related papers)
- Here are a few things your counterpart(s) worked on in the past 3 months:
- Auto-Annotate: Automated image segmentation
- An inference and training orchestration engine to run any model request in real-time across a library of computer vision models
- Several implementations of instance-segmentation architectures like Mask-Rcnn, CenterMask, and object detection architectures like VoVnet
- Configuration parameters to enable the training of models across various dataset sizes, image sizes, and relative annotation sizes and amounts
- The development of deep image retrieval systems to automatically rank datasets by content-based parameters without the need of prior training
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 can adapt to new scenarios. However, the responses they get from AI can easily fall into the simple back-and-forth of chatbots. V7 is changing this through developing AI agents that simulate how humans reason through problems, reducing errors, increasing reliability, and linking the outcome back to its original data source. All of this amounts to vision-based AI models that learn continuously and with minimal human supervision.
V7's Go platform can ingest documents, images and text and boil them down to AI-solvable steps. Alongside automating mundane tasks, the Go platform has a user interface that supports customised workflows - all with no code required. The company says that using only 100 human-annotated examples in its toolkit, it can label the rest of the training data autonomously. Although it found its first customers in medicine and health sciences, its product is being picked up by everyone from tech companies to asset managers and law firms.
With the launch of V7 Go, the company is taking a bold leap into business automation, making powerful AI easy for everyday users. Backed by big-name customers, strong accuracy results, and 2022's Series A investment round, V7 is very much ready to become a major player in the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Meet the team
5 people
Sophie Whittaker, Business Development Rep
Insights
74% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2022
$33m
SERIES A
Jul 2021
$7m
SEED
Total funding: $50m
Company benefits
- Retreats: Meet the whole team in a warm, stunning location over 4 days of team-building, workshops, celebrating, and skill sharing. Majority of departments also do mini-retreats throughout the year
- Competitive stock options: Own a piece of V7 and multiply its value as you grow with us. We benchmark at the top 15% percentile of options grants.
- Private Healthcare cover: Including pre-existing conditions and dental cover
- Daily Lunch: Everyday that you are in the office, you will receive a £15/$20 UberEats voucher
- Monthly Wellbeing allowance: £30 to spend however you like!
- HQ in London: Situated right next to Oxford Circus, our office is a cool place to be. We have fully stocked fridges and snacks!
- £800 Development budget: You’ll be able to spend £800 a year on your personal learning and development, and you'll benefit from separate team budgets for conferences, events and more
- Pension Contributions
Company HQ
FiDi, New York, NY
Articles
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.
People progressing
Anastasia joined as V7's first Operations hire back in November 2021, progressing quickly to Head of Business Operations and now leading a team of 6.
Balys joined our Architecture team back in 2022 as Senior Software Engineer and is now Staff Software Engineer at V7.
Jade joined us in our customer team before moving into a Product role where she now oversees the strategic roadmap for our AI products.
Diversity, Equity & Inclusion at V7
Joe Stephenson (Senior People Operations Manager)
- At V7, we're in the early stages of our journey to champion inclusivity and equality at every step— from the moment candidates consider joining us to every milestone of their journey as as an employee. Our Co Founders care deeply about fostering a environment (Hybrid + Remote) where V7ers feel valued, respected and a strong sense of belonging. In 2023, we implemented or enhanced initiatives including competitive parental leave, flexible working hours, charity fundraising and engaging educational events. We are proud of the work done so far as a Series A fast growing company, but know there is a lot to do.
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