At a Glance
- Tasks: Enhance customer experiences using deep learning and causal algorithms.
- Company: Join ASOS.com, a leader in fashion technology with a vibrant team.
- Benefits: Enjoy employee discounts, 25 days leave, bonuses, and flexible benefits.
- Other info: Agile environment with opportunities for career advancement.
- Why this job: Make a real impact in fashion tech while mentoring and growing your skills.
- Qualifications: Experience in machine learning and a passion for innovative solutions.
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) employer: ASOS.com
ASOS.com is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the fashion technology sector. With a strong focus on employee growth, you will have the opportunity to mentor junior team members while working on cutting-edge machine learning projects. Enjoy generous benefits such as employee discounts, 25 days of paid annual leave, and a flexible benefits allowance, all within a vibrant and agile environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Outfit Recommendations (Production-scale)
✨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 maybe even a referral, which can really boost your chances.
✨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
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 team and contributing to fashion technology.
We think you need these skills to ace Senior ML Engineer - Outfit Recommendations (Production-scale)
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 you've applied these skills in real-world scenarios, so don’t hold back!
Tailor Your Application:Just like you would style an outfit, tailor your application to fit the role. Use keywords from the job description to show us that you understand what we're looking for and how you can contribute to our Outfits Discovery team.
Be Yourself:We love authenticity! Let your personality shine through in your written application. Share your passion for fashion technology and how it drives you to create amazing customer experiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
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 technical skills to real-world applications will impress the interviewers.
✨Prepare for Agile Discussions
Familiarise yourself with agile methodologies, as you'll be working in an agile environment. Be prepared to discuss how you've contributed to agile teams in the past and how you adapt to changing requirements while delivering scalable solutions.
