At a Glance
- Tasks: Lead AI-native product development and architect innovative solutions.
- Company: Join Addepar, a forward-thinking tech company in Edinburgh.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on rapid iteration.
- Why this job: Make an impact by transforming ideas into scalable AI systems.
- Qualifications: Strong software engineering background and experience with AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
Addepar is looking for a Staff Software Engineer in Edinburgh to join their Reference Data team. This role involves architecting and leading AI-native product development. Candidates should have a strong background in software engineering and AI, with a focus on ownership and rapid iteration. You will collaborate with product teams to transform innovative solutions into scalable systems.
The ideal candidate possesses a B.S. or M.S. in Computer Science or related field, extensive experience in software engineering, and familiarity with modern AI technologies.
Staff AI/ML Engineer, Reference Data Platform employer: Addepar
Addepar is an exceptional employer that fosters a culture of innovation and collaboration in the heart of Edinburgh. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to work on cutting-edge AI technologies. Our supportive work environment encourages ownership and rapid iteration, making it a rewarding place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI/ML Engineer, Reference Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at Addepar. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source software. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of AI technologies. We recommend practicing coding challenges and discussing your past projects with friends or mentors.
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Staff AI/ML Engineer, Reference Data Platform
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in software engineering and AI. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Staff AI/ML Engineer position. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the heart of your qualifications.
Apply Through Our Website:We encourage you 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 role. Plus, it’s super easy!
How to prepare for a job interview at Addepar
✨Know Your AI and ML Stuff
Make sure you brush up on the latest AI and ML technologies. Be ready to discuss how you've applied these in your previous roles, especially in software engineering. Addepar will want to see that you can not only talk the talk but also walk the walk when it comes to architecting AI-native products.
✨Showcase Your Ownership Mindset
This role emphasises ownership and rapid iteration, so be prepared to share examples of projects where you took the lead. Discuss how you managed challenges and drove results. This will demonstrate your ability to take charge and deliver innovative solutions.
✨Collaborate Like a Pro
Since you'll be working closely with product teams, highlight your collaboration skills. Share experiences where you successfully worked with cross-functional teams to transform ideas into scalable systems. This shows that you can effectively communicate and work towards common goals.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their current projects, team dynamics, or how they envision the future of their Reference Data platform. This not only shows your interest but also helps you gauge if the company is the right fit for you.
