At a Glance
- Tasks: Lead the design and delivery of AI-driven products in a collaborative team.
- Company: Addepar, an innovative tech company based in Edinburgh.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Emphasis on innovation and client success in a welcoming environment.
- Why this job: Join a dynamic team and shape the future of AI solutions.
- Qualifications: Degree in a relevant field and strong software engineering experience.
The predicted salary is between 60000 - 80000 € per year.
Addepar, based in Edinburgh, is seeking a Staff Software Engineer with expertise in AI/ML to join their Reference Data team. This critical role involves leading the architecture and delivery of AI-driven products. The ideal candidate holds a relevant degree and has extensive software engineering experience, particularly in developing AI-native solutions. Addepar fosters a collaborative culture emphasizing ownership, innovation, and client success, ensuring diverse talents contribute to a welcoming environment.
Staff AI/ML Engineer - Reference Data Platform employer: Addepar
Addepar is an exceptional employer located in the vibrant city of Edinburgh, offering a dynamic work culture that prioritises collaboration, innovation, and client success. Employees benefit from opportunities for professional growth and development while working on cutting-edge AI-driven products within a diverse and inclusive environment. Joining Addepar means being part of a team that values ownership and creativity, making it a rewarding place to advance your career in technology.
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 open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of AI-driven projects or contributions to open-source, make sure to highlight them. We love seeing real-world applications of your expertise.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Addepar values collaboration, so be ready to discuss how you work with others to drive innovation.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the team at Addepar.
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 expertise in AI/ML and software engineering in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role at Addepar. We love seeing candidates who take the time to connect their skills and experiences directly to what we’re looking for in the Reference Data team.
Be Authentic:Let your personality shine through in your written application. We value a collaborative culture, so showing us who you are and how you approach teamwork can really make you stand out!
Apply Through Our Website:For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Addepar
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and machine learning concepts. Be ready to discuss your previous projects, the algorithms you've used, and how you've applied them in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Software Engineering Skills
Prepare to talk about your software engineering experience in detail. Highlight specific projects where you developed AI-native solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving abilities and technical expertise.
✨Emphasise Collaboration and Innovation
Addepar values a collaborative culture, so be prepared to discuss how you've worked in teams. Share examples of how you've contributed to a project’s success through teamwork and innovation. This will align with their emphasis on ownership and client success.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of AI-driven products they’re developing, or how they measure success in their projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
