At a Glance
- Tasks: Build causal algorithms for pricing and customer targeting while deploying models at scale.
- Company: Join ASOS, a leading fashion retailer with a focus on innovation.
- Benefits: Enjoy 25 days paid leave, private medical care, and more.
- Other info: Be part of a dynamic team driving the future of fashion.
- Why this job: Make a real impact in fashion tech with cutting-edge machine learning.
- Qualifications: Experience in deep learning and mentoring junior engineers.
The predicted salary is between 60000 - 80000 € per year.
ASOS is seeking a Senior Machine Learning Engineer to join its Outfits Discovery team. The role involves building causal algorithms for pricing and customer targeting while deploying models at scale. The ideal candidate will have experience with deep learning techniques and be able to mentor junior members.
The position offers a range of benefits including 25 days paid annual leave and private medical care.
Senior ML Engineer, Recommendations — Scale & Impact employer: ASOS
ASOS is an excellent employer for those looking to make a significant impact in the fashion industry through technology. With a vibrant work culture that fosters innovation and collaboration, employees enjoy generous benefits such as 25 days of paid annual leave and private medical care, alongside ample opportunities for professional growth and mentorship. Located in a dynamic environment, ASOS empowers its team members to thrive while contributing to cutting-edge projects in machine learning and recommendations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Recommendations — Scale & Impact
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects, especially those involving deep learning techniques. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and causal inference. We can use platforms like LeetCode or HackerRank to sharpen our coding skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our experience aligns with ASOS's goals in pricing and customer targeting.
We think you need these skills to ace Senior ML Engineer, Recommendations — Scale & Impact
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with deep learning techniques and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to the Outfits Discovery team. Let us know what excites you about working at ASOS.
Showcase Your Mentoring Skills:Since mentoring junior members is part of the gig, share examples of how you've supported others in their learning journey. We love seeing candidates who are not just great engineers but also great team players!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at ASOS
✨Know Your Algorithms
Make sure you brush up on causal algorithms and deep learning techniques. Be ready to discuss specific projects where you've implemented these methods, as well as the impact they had on pricing or customer targeting.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior members, prepare examples of how you've successfully guided others in the past. Highlight your approach to teaching complex concepts and fostering a collaborative environment.
✨Demonstrate Scalability Knowledge
ASOS is looking for someone who can deploy models at scale. Be prepared to talk about your experience with scaling machine learning models, including any challenges you faced and how you overcame them.
✨Ask Insightful Questions
Prepare thoughtful questions about the Outfits Discovery team and their current projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
