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- Tasks: Build and scale impactful AI features while collaborating on innovative solutions.
- Company: Fast-growing AI startup in the UK with a mission to transform learning.
- Benefits: Competitive salary, equity, and flexible hybrid working model.
- Why this job: Join us to make a real difference in learning for millions.
- Qualifications: 8+ years of software engineering experience and a degree in Machine Learning.
- Other info: Dynamic environment with opportunities for growth and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A fast-growing AI startup in the UK is seeking a Product Engineer with 8+ years of software engineering experience. You will be responsible for building and scaling core AI features that have real user impact, collaborating with teams to design AI-driven solutions. A degree in Machine Learning or demonstrated hands-on experience is required.
The role offers competitive salary, equity, and a flexible hybrid working model. Join us in transforming learning for millions!
Staff AI Product Engineer — Equity & Learning Platform employer: Gizmo
Contact Detail:
Gizmo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Product Engineer — Equity & Learning Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and product engineering space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. This is your chance to demonstrate your hands-on experience and how you've made an impact in previous roles. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for product engineers and practice your responses. Be ready to discuss your experience with AI features and how you've collaborated with teams in the past. Confidence is key!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about transforming learning. Tailor your application to highlight your relevant experience and why you're passionate about this role. Let's make it happen together!
We think you need these skills to ace Staff AI Product Engineer — Equity & Learning Platform
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years of software engineering experience in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills and past projects!
Tailor Your Application: Take a moment to customise your application for the Staff AI Product Engineer position. Mention specific AI features or projects you've worked on that relate to our mission of transforming learning. This helps us see how you fit into our vision!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your achievements stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do!
How to prepare for a job interview at Gizmo
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your hands-on experience and how you've applied these technologies in previous roles. This will show that you're not just familiar with the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in past projects and how you tackled them. Highlight your ability to collaborate with teams to design AI-driven solutions, as this is crucial for the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company’s Vision
Research the startup's mission and values, especially their focus on transforming learning. Be ready to discuss how your skills and experiences align with their goals. This shows genuine interest and helps you stand out as a candidate who fits into their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack they use, and future projects. This not only demonstrates your enthusiasm for the role but also gives you a better understanding of what to expect if you join their team.