Join Us
Bring your computer vision projects into one single place.
Take your AI applications from development to production and automate your workflows with end-to-end MLOps pipelines.
What you should know
Who are we?
Picsellia is a cloud-based MLOps platform for computer vision. We provide a centralized platform for companies looking to productionize AI models for visual use-cases such as Smart Cities, Sports Analytics or Quality Inspection across Europe.
Founded in 2019, Picsellia provides a set of tools to search, visualize and explore millions of images to create meaningful datasets, train AI models and monitor them in production. We empower ML engineers and product teams to transfer software, and DevOps good practices into the world of Machine Learning (understand MLOps).
We are a team of 12 passionate people looking to become the category leader in MLOps for computer vision in Europe in the next 5 years. To achieve this mission, we have raised 2 funding rounds and are looking to expand the team to 20+ people in 2023, so it’s a key moment to join us :)
About Picsellia
As the AI market is growing in maturity, companies are in need for help to implement their strategy and finally achieve digital transformation thanks to Machine Learning (and more precisely in our case, Computer Vision).
That’s why our mission is divided in two parts:
- First: we have to develop the best platform to support our clients need in an end-to-end flavor regarding their projects, meaning, from data collection to model deployment
- Second: we offer some consulting services to help them gather and organize data, prototype their models, establish their deployment strategy etc.
About the Product
Picsellia is an end-to-end Machine Learning Platform composed of 4 main parts:
- Data management
- Experiment tracking
- Model registry
- Deployment and monitoring
As our platform is meant to be used by different kinds of users (Data Scientists cleaning data in the interface, Data Engineers and DevOps creating pipelines between Picsellia and other services...), every feature can be leveraged with the UI or with our APIs (through our Python SDK).
About the Machine Learning Team
Today, the Data Science capabilities of Picsellia stands on the CTO and interns.We’ve successfully implemented clients project in different fields such as Marketing, Heavy Industry, Agriculture.
Some research projects we’ve worked on to improve the platform:
- Data augmentation
- Model Compression
- Monitoring
- Explainability
- ...
You’ll be our next Computer Vision Lead to complete our team and build our dream squad!
About the Technical Stack
- We work with the main ML Frameworks (Tensorflow, Pytorch, ONNX…)
- Our serving engine is based on Nvidia Triton
- Projects vary across the whole computer vision spectrum (object detection, segmentation, tracking …)
About the Tools
- Communication: Slack & Keybase
- Code related: Github and Github Actions
- Collaboration: Notion, Github
Job Openings
Computer Vision Lead
We are looking for someone experienced in Machine Learning and Computer Vision to lead the different clients projects, help with the platform ML roadmap and assist the more junior people in the team.
Software Engineer
We are looking for someone experienced in Machine Learning and Computer Vision to lead the different clients projects, help with the platform ML roadmap and assist the more junior people in the team.
Junior Frontend Dev
Take ownership of Picsellia’s front-end codebase by incorporating good practices along with our mature back-end codebase.
Job Description
As we want to expand the team and our CTO is focusing on some other parts of the development, we are looking for someone experienced in Machine Learning and Computer Vision to lead the different clients projects, help with the platform ML roadmap and assist the more junior people in the team.
Your mission
You’ll be part of the Machine Learning team to accelerate the roadmap mentioned above.
As a Computer Vision Lead at Picsellia, you will:
- Work hand in hand with the CTO in the Product team to implement solutions that work for our customers;
- Challenge the current codebase to respect the previously designed good practices;
- Always challenge the product and technical features;
- Participate in interviews to hire new team members;
- Review our team’s work with a focus on code quality and maintainability;
- Write Decision Records and relevant technical documentation;
You might be a fit if
- You have a solid experience working with Python;
- You already worked on some Computer Vision projects at a medium to large scale (10k → 1M images)
- You have a solid experience in at least one of the following frameworks:
• Pytorch
• Tensorflow - You know Docker and are comfortable packaging and shipping your applications;
- You always try to stand in the user’s shoes;
- You don’t hesitate to challenge and refactor the current codebase, be it your code or not;
- You know how to write efficient and meaningful code reviews, and are open to being thoroughly challenged;
- You love elegant yet pragmatic code (pragmatism is something you will find a lot at Picsellia);
- You like challenges and are a team player;
- You have good coding practices: Git, Testing, Documentation, CI/CD;
- You are comfortable writing and speaking in English;
Additional Skills
- You have some experience in backend development (using REST APIs for example) as you’ll be interacting a lot with the product through API.
Hiring Process
- You love elegant yet pragmatic code (pragmatism is something you will find a lot at Picsellia);
- You like challenges and are a team player;
- You have good coding practices: Git, Testing, Documentation, CI/CD;
- You are comfortable writing and speaking in English;
Perks and Benefits
As we care about our people and want you to feel at home, here is a non-exhaustive list of what we are offering you.
- Fully-equipped setup
- Tailor-made Remote Policy: from 1 day per week to Full-remote, with the possibility to work from anywhere (+/- 3 hours) up to 4 weeks per year.
- A competitive salary package (including stocks)
- Off-sites and events with the whole team
- 100% covered public transportation fees
- Alan health insurance
- A Swile Card (Tickets Resto) that you can use for lunch expenses
- Netflix (or other providers) subscription
- Spotify (or other providers) subscription
Thank you!
To speed up the process, feel free to directly schedule a meeting with us.
Job Description
As we want to expand the team and our CTO is focusing on some other parts of the development, we are looking for someone experienced in Machine Learning and Computer Vision to lead the different clients projects, help with the platform ML roadmap and assist the more junior people in the team.
Your mission
You’ll be part of the Machine Learning team to accelerate the roadmap mentioned above.
As a Computer Vision Lead at Picsellia, you will:
- Work hand in hand with the CTO in the Product team to implement solutions that work for our customers;
- Challenge the current codebase to respect the previously designed good practices;
- Always challenge the product and technical features;
- Participate in interviews to hire new team members;
- Review our team’s work with a focus on code quality and maintainability;
- Write Decision Records and relevant technical documentation;
You might be a fit if
- You have a solid experience working with Python;
- You already worked on some Computer Vision projects at a medium to large scale (10k → 1M images)
- You have a solid experience in at least one of the following frameworks:
• Pytorch
• Tensorflow - You know Docker and are comfortable packaging and shipping your applications;
- You always try to stand in the user’s shoes;
- You don’t hesitate to challenge and refactor the current codebase, be it your code or not;
- You know how to write efficient and meaningful code reviews, and are open to being thoroughly challenged;
- You love elegant yet pragmatic code (pragmatism is something you will find a lot at Picsellia);
- You like challenges and are a team player;
- You have good coding practices: Git, Testing, Documentation, CI/CD;
- You are comfortable writing and speaking in English;
Additional Skills
- You have some experience in backend development (using REST APIs for example) as you’ll be interacting a lot with the product through API.
Hiring Process
- You love elegant yet pragmatic code (pragmatism is something you will find a lot at Picsellia);
- You like challenges and are a team player;
- You have good coding practices: Git, Testing, Documentation, CI/CD;
- You are comfortable writing and speaking in English;
Perks and Benefits
As we care about our people and want you to feel at home, here is a non-exhaustive list of what we are offering you.
- Fully-equipped setup
- Tailor-made Remote Policy: from 1 day per week to Full-remote, with the possibility to work from anywhere (+/- 3 hours) up to 4 weeks per year.
- A competitive salary package (including stocks)
- Off-sites and events with the whole team
- 100% covered public transportation fees
- Alan health insurance
- A Swile Card (Tickets Resto) that you can use for lunch expenses
- Netflix (or other providers) subscription
- Spotify (or other providers) subscription
Thank you!
To speed up the process, feel free to directly schedule a meeting with us.
Job Description
As we want to expand the team and our CTO is focusing on some other parts of the development, we are looking for someone experienced in Machine Learning and Computer Vision to lead the different clients projects, help with the platform ML roadmap and assist the more junior people in the team.
Your mission
You’ll be part of the Machine Learning team to accelerate the roadmap mentioned above.
As a Computer Vision Lead at Picsellia, you will:
- Work hand in hand with the CTO in the Product team to implement solutions that work for our customers;
- Challenge the current codebase to respect the previously designed good practices;
- Always challenge the product and technical features;
- Participate in interviews to hire new team members;
- Review our team’s work with a focus on code quality and maintainability;
- Write Decision Records and relevant technical documentation;
You might be a fit if
- You have a solid experience working with Python;
- You already worked on some Computer Vision projects at a medium to large scale (10k → 1M images)
- You have a solid experience in at least one of the following frameworks:
• Pytorch
• Tensorflow - You know Docker and are comfortable packaging and shipping your applications;
- You always try to stand in the user’s shoes;
- You don’t hesitate to challenge and refactor the current codebase, be it your code or not;
- You know how to write efficient and meaningful code reviews, and are open to being thoroughly challenged;
- You love elegant yet pragmatic code (pragmatism is something you will find a lot at Picsellia);
- You like challenges and are a team player;
- You have good coding practices: Git, Testing, Documentation, CI/CD;
- You are comfortable writing and speaking in English;
Additional Skills
- You have some experience in backend development (using REST APIs for example) as you’ll be interacting a lot with the product through API.
Hiring Process
- You love elegant yet pragmatic code (pragmatism is something you will find a lot at Picsellia);
- You like challenges and are a team player;
- You have good coding practices: Git, Testing, Documentation, CI/CD;
- You are comfortable writing and speaking in English;
Perks and Benefits
As we care about our people and want you to feel at home, here is a non-exhaustive list of what we are offering you.
- Fully-equipped setup
- Tailor-made Remote Policy: from 1 day per week to Full-remote, with the possibility to work from anywhere (+/- 3 hours) up to 4 weeks per year.
- A competitive salary package (including stocks)
- Off-sites and events with the whole team
- 100% covered public transportation fees
- Alan health insurance
- A Swile Card (Tickets Resto) that you can use for lunch expenses
- Netflix (or other providers) subscription
- Spotify (or other providers) subscription
Thank you!
To speed up the process, feel free to directly schedule a meeting with us.
