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- Tasks: Develop advanced machine learning models to enhance in-store customer experiences.
- Company: VC-backed startup revolutionising the retail sector.
- Benefits: Competitive compensation, equity, and opportunities for growth.
- Why this job: Join a cutting-edge team and transform the retail experience.
- Qualifications: 3-5+ years in applied machine learning and strong Python skills.
- Other info: Be part of an innovative environment with significant impact.
The predicted salary is between 48000 - 72000 £ per year.
A VC-backed startup in the retail sector is seeking a Senior Research Engineer to develop advanced machine learning models aimed at enhancing in-store customer experiences.
The ideal candidate will have:
- 3-5+ years of applied machine learning experience
- Advanced knowledge in deep learning
- Robust Python skills
This position offers an opportunity to work on cutting-edge technologies and make a real impact on the transformation of retail. Competitive compensation and equity are included.
Senior Research Engineer – Foundation Models in Retail in London employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer – Foundation Models in Retail in London
✨Tip Number 1
Network like a pro! Reach out to folks in the retail and machine learning space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to customer experience. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on deep learning concepts and Python coding challenges. We recommend practicing with real-world problems to demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Research Engineer – Foundation Models in Retail in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your applied machine learning experience and deep learning knowledge in your application. We want to see how your skills can enhance in-store customer experiences, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Research Engineer role. We love seeing candidates who take the time to align their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the 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 this exciting opportunity in the retail sector.
How to prepare for a job interview at algo1
✨Know Your Models
Make sure you brush up on the latest advancements in machine learning and deep learning. Be prepared to discuss specific models you've worked with, how they were applied, and the impact they had on projects. This shows your hands-on experience and passion for the field.
✨Showcase Your Python Skills
Since robust Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures in Python can give you an edge.
✨Understand Retail Dynamics
Familiarise yourself with the retail sector and how machine learning can enhance customer experiences. Research current trends and challenges in retail, and think about how your skills can address these issues. This will help you connect your expertise to the company's goals.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so prepare insightful questions about the company’s vision, team dynamics, and the technologies they use. This not only shows your interest but also helps you gauge if the company is the right fit for you.
