About algo1
algo1 is a VC-backed, stealth-mode startup building behavioural AI for the retail industry. Our platform has been built from the ground up with no legacy systems, no patchwork, just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store retail experience.
Our obsession with grocery retail and the shopper experience sets us apart. If you're excited by the opportunity to transform an experience that touches millions of people every day, you'll feel right at home here.
The Role
We're looking for an experienced Android Engineer to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context.
What You’ll Own
Architect and drive the development of complex Android features, including robust real-time communication and bi-directional data flows.
Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team’s models and the user interface.
Define and evolve the mobile codebase using modern architectural patterns (MVI/MVVM, Clean Architecture) to ensure scalability.
Collaborate, working closely with product and design to turn complex technical capabilities into polished user interactions.
About you
Must Have
Proven understanding of Android internals: concurrency, memory management, and the full lifecycle constraints.
Ability to architect for complexity, handling asynchronous data streams and complex state management cleanly.
Comfort working in fast-paced, product-driven environments where you are expected to make high-level technical decisions.
Curiosity about behavioural data, context-aware design and integrating on-device machine learning features.
A product and user oriented mindset: you think beyond the code, caring about the shopper experience and weighing engineering decisions against real user impact.
Nice to Have
Exposure to integrating machine learning features (e.g. ML Kit, or custom TFLite models) into a production app.
Background in early-stage product design or MVP development.
How We Work
We're a startup, so this is a high-intensity environment. The people who thrive here are curious, proactive, and love building. If you're happiest when you're creating, experimenting, and moving fast, you'll fit right in.
We draw our energy from being together, so this is primarily an office-based role. It suits someone who enjoys the quick conversations and shared momentum that comes from building together. Our office is on what we think is the best garden square in London, just a couple of minutes from Tottenham Court Road, so it's easy to get to and a great place to be.
What We Offer
Competitive salary and meaningful equity.
25 days’ annual leave.
The opportunity to work directly with experienced founders and C-level leadership.
Real ownership from day one.
The chance to shape a product used by millions of shoppers.
Skills Required
- Proven understanding of Android internals including concurrency, memory management, and lifecycle constraints
- Ability to architect for complexity, handling asynchronous data streams and complex state management
- Comfort working in fast-paced, product-driven environments and making high-level technical decisions
- Curiosity about behavioural data, context-aware design and integrating on-device machine learning features
- Product and user-oriented mindset, weighing engineering decisions against user impact
- Exposure to integrating machine learning features (e.g., ML Kit or custom TFLite models) into a production app
- Background in early-stage product design or MVP development
What We Do
We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry, focused on hyper-personalisation. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience.
