Exciting projects
- Develop large-scale personalised curation systems that process entire photo libraries, applying computer vision and machine learning to detect events, relationships, and themes, and automatically generate structured “Memories” albums at scale
- Apply generative AI across the company - from real customer-facing product features such as title suggestions (look out for our AWS blog coming soon) and captions to internal systems such as customer support
- Build and deploy large-scale convolutional neural networks trained on tens of millions of images, with datasets growing daily
- Scale inference and serving infrastructure – our FastAPI servers handle millions of requests in production
Core responsibilities
- Design, train, and deploy Machine Learning models that directly impact customers every day
- Clean, transform, and prepare data for analysis, handling missing values and inconsistencies to ensure reliability
- Own the full stack of data science development: from prototyping models to production deployment and monitoring
- Extract insights from large, complex datasets (structured and unstructured) to identify trends, build predictive models, and develop algorithms for creative applications
- Collaborate closely with product, engineering and marketing teams to ship features end-to-end
- Contribute to improving infrastructure for large-scale training, testing, and evaluation
- Present data findings and insights in a meaningful and visually compelling way to technical and non-technical stakeholders, including creative teams and leadership
- Design and conduct statistical experiments to evaluate creative strategies and optimise outcomes
- Continuous Learning - stay updated on the latest advancements in data science, software, and tools, and knowledge share
Key experience
- Excellent coding ability in Python
- Solid experience with SQL
- Strong understanding of statistics, data mining, and predictive analytics techniques
- Hands-on experience with Docker and Terraform
- Exposure to AWS (e.g. S3, ECS, SageMaker, EC2)
- Experience deploying and testing generative AI models in production
- Comfort with engineering-heavy workflows (CI/CD, containers, infrastructure)
- Experience developing and applying various machine learning algorithms, including classification, regression, and clustering
- Excellent verbal and written communication skills to effectively convey complex findings and stories to diverse audiences
- Analysis of user data to personalise content, improve engagement, and optimise user journeys
- Experience with recommender systems
- Familiarity with large-scale training pipelines (distributed training, GPU scaling)
- Experience with multi-head CNN architectures or multi-task learning for robust model training
- Contributions to open source, technical talks, or side projects showing initiative
Top Skills
What We Do
Joining Popsa now is pretty exciting. According to Deloitte, we’re the UK’s fastest-growing startup of 2020. We have a fast-growing global customer base to match, and the backing of some of the best investors in the world. Our native iOS and Android apps are available in 12 languages – attracting more than 3 million users to date – and we ship to 50 countries around the world. Phew. So why is Popsa so hot right now? The reality is, people have never taken more photos than we do today. Our phones are literally crammed with memories. But although we’re good at capturing moments – we’re not as good at doing anything with them. They’ll often sit forgotten on our devices or in the cloud. Then Popsa came along. Founded in 2016, we’ve built an award-winning app that’s made printing your memories so easy and accessible, anyone can do it. No more barriers. No more time-wasting. In fact, everything we do as a business is designed with this ethos. We help people turn their best moments into something beautiful and lasting, in no time at all. Today we’re best known for photobooks, but our vision of the future goes far beyond print. We’re building a platform to help people to curate their experiences in lots of exciting ways. We want to become THE place where people come to capture their life stories. To celebrate their most important people and relationships. To create lasting meaning from their experiences.
