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- Tasks: Develop a cutting-edge Android app that transforms in-store shopping experiences.
- Company: Join a stealth-mode, VC-backed company revolutionising retail with AI.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of tech innovation and make a real impact in retail.
- Qualifications: Expertise in Android development, real-time protocols, and machine learning integration.
- Other info: Collaborative team environment with a focus on creativity and problem-solving.
The predicted salary is between 36000 - 60000 £ per year.
We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our mission is to bring the intelligence of modern machine learning directly to the in-store experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences.
We are 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.
- Architect and drive the development of complex Android features, including robust real-time communication and bi-directional data flows.
- Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource-intensive environment.
- Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team’s models and the user interface.
- Experience with real-time protocols and data-heavy applications.
- Expert-level understanding of Android internals: concurrency, memory management, and the full lifecycle constraints.
- Proven track record of building resilient, offline-capable systems (familiarity with sync queues, local databases, and reactive flows).
- Ability to architect for complexity, handling asynchronous data streams and complex state management cleanly.
- Curiosity about behavioural data and context-aware design.
- Exposure to integrating machine learning features (e.g. ML Kit, or custom TFLite models) into a production app.
Android Engineer (Kotlin) - REMOTE in London employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Android Engineer (Kotlin) - REMOTE in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Android projects, especially those that highlight your experience with Kotlin and real-time data handling. This will give us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Android internals and machine learning integration. We love candidates who can discuss their thought process and problem-solving strategies when it comes to app performance and user experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to make a difference in the retail space.
We think you need these skills to ace Android Engineer (Kotlin) - REMOTE in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Android development, especially in Kotlin. We want to see your expertise in building complex features and optimising app performance, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with our mission of enhancing the retail experience through AI. We love seeing candidates who understand our vision and can contribute to it!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to your experience. Make it easy for us to see why you’re the perfect fit for the Android Engineer role!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at algo1
✨Know Your Tech Inside Out
Make sure you brush up on your Android internals, especially concurrency and memory management. Be ready to discuss how you've tackled complex features in the past, particularly around real-time communication and data flows.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've optimised app performance in resource-intensive environments. Talk about specific challenges you've faced with low latency and battery life, and how you overcame them.
✨Connect the Dots with ML Integration
Since the role involves integrating machine learning features, be prepared to discuss your experience with ML Kit or TFLite models. Share insights on how you've bridged the gap between AI models and user interfaces in previous projects.
✨Demonstrate Your Curiosity
Express your interest in behavioural data and context-aware design. Prepare questions that show you're thinking about how these elements can enhance the in-store shopping experience, and how they relate to the company's mission.
