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 innovation in the fashion industry.
- 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 in London employer: ASOS
ASOS is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and its applications in fashion. With a commitment to employee growth, the company offers mentorship opportunities, competitive benefits such as 25 days of paid annual leave and private medical care, and a collaborative environment that encourages creativity and impact at scale.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Recommendations — Scale & Impact 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 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 coding challenges. We can use platforms like LeetCode or HackerRank to sharpen our 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 recommendations and customer targeting.
We think you need these skills to ace Senior ML Engineer, Recommendations — Scale & Impact in London
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 machine learning and how you can contribute to our Outfits Discovery team. Keep it engaging and personal – we love to see your personality!
Showcase Your Mentoring Skills:Since mentoring junior members is part of the role, include examples of how you've supported others in their learning journey. We value collaboration and growth, so let us know how you can help build a strong team!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get you on our radar quickly. Don’t miss out on this opportunity!
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.
