We are looking for a Senior Applied Scientist, with expertise in deep learning, to join our cross-functional AI Trade Optimisation team. We build algorithms and machine learning systems for pricing, customer targeting, and product understanding. To do so, we are able to leverage unique datasets of transactions and click streams for millions of ASOS customers and hundreds of thousands of products.
The role sits within the Applied Science domain, which is responsible for the algorithms that power ASOS digital ecosystem. From Recommender Systems through to Pricing models that drive key operating decisions, the teams maintain, build and innovate in some of the most interesting areas of machine learning at scale, training models on unique datasets, transactions and clickstream data.
What youll be doing:
You will be part of an agile, cross-functional team to build causal algorithms for the pricing, forecasting and customer targeting space.
You will personally drive the design and implementation of algorithms that create measurable impact across the business. You will work independently to conduct R&D, lead stakeholder conversations, and conduct large-scale experiments to test hypotheses and drive product development.
You will write production grade code, and contribute to the continual development and improvement of our codebases and technology, following best practices regarding MLOps.
You will keep up to date with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences.
You will be mentoring and coaching junior members of the team, supporting their technical progress.
/01 Company Description
Were 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, youre free to be your true self without judgement, and channel your creativity into a platform used by millions.
But how are we showing up? Were 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.
/02 Job Qualifications
About You
You have professional experience in machine learning and their practical applications in production environments. You are familiar with statistics, regression and ensemble methods, and have particular expertise with deep learning. Expertise and exposure to optimization, causal methods or reinforcement learning are a plus.
You are comfortable working in Python and familiar with at least one deep learning framework (e.g., PyTorch, TensorFlow). Experience with distributed computing frameworks (e.g., Horovod, DeepSpeed) for training deep learning models is a plus.
You have a solid understanding of software development lifecycles and engineering practices (including version control, data pipelines, CI/CD), and are able to write production-grade code.
You are able to work independently to manage projects and deliver prototypes against a timeline. You also have experience managing non-technical business stakeholders and working collaboratively with other machine learning professionals.
We are keen to speak to people who are comfortable with R&D, and would love to meet someone who has authored publications in top-tier machine learning conferences or journals (e.g. NeurIPS, ICLR, ICML, KDD, CVPR, ICCV, ECCV, ACL, EMNLP).
/03 Additional Info
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
Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.
Want to find out how were tech powered? Check out the ASOS Tech Podcast here https://open.spotify.com/show/6rT4V6N9C7pAXcX60kzzxo . Prefer reading? Check out our ASOS Tech Blog here https://medium.com/asos-techblog.
what our people say
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Meet The Team
Meet Zijiao Li -
Tech @ ASOS
Meet Amy Richardson -
Tech @ ASOS
Meet Si Jobling -
Tech @ ASOS
I love working at ASOS in my team because of the great atmosphere. From day one I already felt like being part of the team, everyone is so friendly, approachable and willing to help. It’s the place where you feel trusted and are given the opportunities & time to explore your full potential. As someone who just relocated to London, I also appreciate the international and cultural diverse environment – it’s ok to be whoever you want to be!
As a software engineer with a love for fashion, I feel extremely lucky to be part of a fashion company that priorities technology, innovation and customer experience to the same degree as their clothing.
As someone who left ASOS after 7 years but came back, it speaks volumes how much I love working at ASOS. The obvious reason is the people, not just in Tech but beyond. There's an unspoken respect and authenticity between everyone who works here
Zijiao Li
Tech @ ASOS
I love working at ASOS in my team because of the great atmosphere. From day one I already felt like being part of the team, everyone is so friendly, approachable and willing to help. It’s the place where you feel trusted and are given the opportunities & time to explore your full potential. As someone who just relocated to London, I also appreciate the international and cultural diverse environment – it’s ok to be whoever you want to be!
Amy Richardson
Tech @ ASOS
As a software engineer with a love for fashion, I feel extremely lucky to be part of a fashion company that priorities technology, innovation and customer experience to the same degree as their clothing.
Si Jobling
Tech @ ASOS
As someone who left ASOS after 7 years but came back, it speaks volumes how much I love working at ASOS. The obvious reason is the people, not just in Tech but beyond. There's an unspoken respect and authenticity between everyone who works here
our business values
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our business values
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our business values
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We are Customer First
We couldn’t be ASOS without our customers.
Across every behaviour, value, and all that we do, we see everything through our customers’ eyes. That means never taking anything for granted and always zeroing in on every single detail. So we can always bring our best as a team, and our customers can have an amazing experience, every time.
We are Authentic
We work together to be honest, transparent, and our full authentic selves.
This is our ASOS. Our culture, built on collaboration and togetherness, and supported by what’s real and honest. We know that we win bigger when we win as a diverse team. That means celebrating our differences and using them to help us stand out from the crowd, without losing our authenticity and individuality.
We are Brave
We challenge each other to aim high and reach our potential.
Doing nothing gets us nowhere. We may be proud of everything we’ve done so far, but there’s still so much more to explore. We believe we can always be wiser, faster, stronger, bigger, braver, kinder…so asking ‘why’ isn’t just a question, it’s a necessity. We use our voice to drive us forward, speaking up on the things our people and customers care about and using our curiosity to create possibility.
We are Creative
We know innovation leads to inspiration – it’s what makes us stronger
Change is in our DNA. By acting fast and staying one step ahead of the curve, we can be a leader, not a follower. But for our products and platform to be innovative, they have to be fuelled by creative passion and a deep understanding of our customers and our people.
We always Deliver
We couldn’t be excellent without evidence – so whatever we’re doing, we have proof of why we’re doing it.
It takes facts and data to tell our stories and help us make our decisions in the most effective way possible. This means we can do what we say and own what we do, no matter how long it takes us to do it. We aren’t about nonsense ifs, buts and maybes, we’re about creating an ASOS that’s built for future success on delivered success.
Our Benefits
Location
Our HQ in London
Our HQ in Camden was once a cigarette factory – now, the iconic Art Deco building has been completely renovated with spacious office areas, ASOS Studios (where we shoot all our products), beauty rooms and a free gym. There’s also a subsidised canteen and café.