At a Glance
- Tasks: Enhance customer experiences using deep learning and causal algorithms in fashion tech.
- Company: Join ASOS.com, a leader in fashion technology with a vibrant team culture.
- Benefits: Enjoy employee discounts, 25 days annual leave, bonuses, and flexible benefits.
- Other info: Agile environment with opportunities for career advancement.
- Why this job: Make a real impact on customer experiences while mentoring and growing your skills.
- Qualifications: Experience in machine learning and a passion for fashion technology.
The predicted salary is between 60000 - 80000 £ per year.
ASOS.com is seeking a Senior Machine Learning Engineer to enhance our Outfits Discovery team. The role involves applying deep learning and building causal algorithms that maximize customer experiences. You'll work in an agile environment, mentoring junior members while implementing scalable solutions for our vast customer base.
Benefits include:
- Employee discounts
- 25 days paid annual leave
- A discretionary bonus
- A flexible benefits allowance
Join us to thrive in fashion technology.
Senior ML Engineer - Outfit Recommendations (Production-scale) in London employer: ASOS.com
ASOS.com is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about fashion technology. With a strong emphasis on employee growth, you will have the opportunity to mentor junior team members while working in an agile environment, all while enjoying generous benefits such as 25 days of paid annual leave, employee discounts, and a flexible benefits allowance. Join us to be part of a forward-thinking team that values creativity and collaboration in the heart of the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Outfit Recommendations (Production-scale) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your deep learning projects and causal algorithms. When you get the chance to chat with the team, having tangible examples will make you stand out.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. Use platforms like LeetCode or HackerRank to simulate the interview experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the ASOS family.
We think you need these skills to ace Senior ML Engineer - Outfit Recommendations (Production-scale) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with deep learning and causal algorithms in your application. We want to see how your skills can enhance our Outfits Discovery team!
Be Agile:Since we work in an agile environment, mention any relevant experience you have with agile methodologies. It’ll show us that you’re ready to jump right in and contribute to our team.
Mentorship Matters:If you’ve had experience mentoring junior members, don’t forget to include that! We value collaboration and growth, so let us know how you can help others thrive.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on board with our fashion tech journey!
How to prepare for a job interview at ASOS.com
✨Know Your Algorithms
Make sure you brush up on your deep learning and causal algorithms. Be ready to discuss how you've applied these in past projects, especially in a production-scale environment. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior members, think of examples where you've successfully guided others. Prepare to share specific instances where your mentorship made a difference, as this will highlight your leadership qualities.
✨Understand ASOS's Customer Base
Do some research on ASOS and its customer demographics. Think about how your work can enhance their shopping experience through outfit recommendations. Being able to connect your skills to their needs will set you apart from other candidates.
✨Prepare for Agile Discussions
Familiarise yourself with agile methodologies if you haven't already. Be prepared to discuss how you've worked in agile teams before, and how you can contribute to a fast-paced environment like ASOS. This will demonstrate your adaptability and readiness for the role.
