At a Glance
- Tasks: Join ASOS to develop and deploy cutting-edge machine learning systems for fashion discovery.
- Company: ASOS, a global online fashion retailer committed to inclusivity and creativity.
- Benefits: Enjoy employee discounts, personal development opportunities, and flexible benefits.
- Why this job: Make a real impact in the fashion industry with innovative ML solutions.
- Qualifications: Expertise in deep learning and experience in production environments required.
- Other info: Be part of a dynamic team with excellent career growth and mentoring opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Overview
We’re ASOS, the online retailer for fashion lovers all around the world.
We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.
But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.
Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.
Role
We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional AI Style Discovery team.
In role, you will a senior IC who will be productionising machine learning systems across that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high scale ML capabilities.
What you’ll be doing
- You will be part of an agile, cross-functional team building and improving our causal algorithms for the pricing and customer targeting space.
- You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
- You will be deploying batch and online machine learning models at high scale.
- You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
- You will be mentoring and coaching junior members of the team, supporting their technical progress.
- You will contribute to the team\\\’s technical direction, establish ML standards, and drive quality across ASOS\\\’s ML community, while sharing expertise gained from the team.
Qualifications
About You
- You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments.
- You possess mastery of deep learning frameworks and distributed computing frameworks for implementing large-scale deep learning models.
- You have proven ability to create and manage multi-instance clusters for distributed and parallel training across GPUs, demonstrating proficiency in data and model parallelism techniques.
- You have strong understanding of software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability) – specifically ML Ops principles, techniques and tooling.
- You’re comfortable providing technical leadership, mentoring, and coaching to more 1-2 junior engineers. You will contribute to wider engineering initiatives across ASOS.
Additional Information
Benefits
- Employee discount (hello ASOS discount!)
- ASOS Develops (personal development opportunities across the business)
- Employee sample sales
- Access to a huge range of LinkedIn learning materials
- 25 days paid annual leave + an extra celebration day for a special moment
- Discretionary bonus scheme
- Private medical care scheme
- Flexible benefits allowance – which you can choose to take as extra cash, or use towards other benefits
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Senior Machine Learning Engineer employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to current ASOS employees on LinkedIn, join relevant groups, and attend industry meetups. This way, you can get insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your deep learning knowledge and practical applications. Be ready to discuss your past projects and how they relate to ASOS's mission of enhancing the fashion experience.
✨Tip Number 3
Show off your personality! ASOS values authenticity, so don’t be afraid to let your true self shine during interviews. Share your passion for fashion and technology, and how you can contribute to their innovative team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll have access to all the latest job openings and updates directly from ASOS.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your deep learning expertise and any relevant projects you've worked on. We want to see how your experience aligns with our mission at ASOS!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for fashion and technology, and explain why you want to join our AI Style Discovery team. Let us know how you can contribute to elevating the fashion experience for our customers.
Showcase Your Projects: If you've worked on any machine learning projects, especially those involving deep learning, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back!
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 into our system quickly. Plus, it shows you're keen to be part of the ASOS family!
How to prepare for a job interview at ASOS
✨Know Your Stuff
Make sure you brush up on your deep learning knowledge and the frameworks you're familiar with. Be ready to discuss specific projects where you've implemented machine learning models, especially in production environments. This will show that you not only understand the theory but can apply it practically.
✨Show Your Team Spirit
ASOS values collaboration, so be prepared to talk about your experience working in cross-functional teams. Highlight instances where you've mentored junior engineers or contributed to team initiatives. This will demonstrate your leadership skills and your ability to work well with others.
✨Be Ready for Technical Questions
Expect some technical questions related to ML Ops principles, data pipelines, and CI/CD practices. Brush up on these topics and think of examples from your past work that illustrate your expertise. Being able to explain complex concepts clearly will impress your interviewers.
✨Embrace ASOS's Values
Familiarise yourself with ASOS's commitment to inclusivity and creativity. Think about how your personal values align with theirs and be ready to share how you can contribute to their mission. Showing that you resonate with their culture can set you apart from other candidates.