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The Discovery team assists customers in their fashion discovery journey and helps them find what they are looking for. We are developing the next generation of our discovery systems utilising stateoftheart information retrieval (IR) methods particularly transformerbased deep neural networks and large language models (LLMs).
As a Senior Applied Scientist you will address challenging fashion problems using cuttingedge approaches. You will contribute to drive our scientific roadmap applying your scientific capabilities and in collaboration with a team of exceptional scientists and engineers developing models and cuttingedge machine learning products that enhance the experience of over 51 million customers.
Utilize your extensive scientific experience in researching deploying and architecting machine learning and deep learning solutions in IR to enhance the inspiration journey of millions of our customers.
Contribute to develop scientific roadmaps to address complex fashion challenges using stateoftheart solutions ensuring we stay at the forefront of IR innovation. Contribute to our scientific endeavours through external publications in toptier journals and conferences.
Act as a mentor to junior scientists foster collaboration with other teams and actively share knowledge and expertise within Zalandos science community.
Forge close partnerships with applied science leaders and product managers and other business stakeholders to deliver stateoftheart machine learning solutions to our customers and uncover new opportunities for growth.
PhD in IR search & recommendation information & knowledge management or related fields (or equivalent experience) accompanied by 3 years of industry experience in modern IR systems especially neural IR. Comprehensive understanding of the key components of an IR system including query processing indexing evaluation etc.
Experience in applying scientific methods to tackle research problems. A strong inclination to collaborate with product science and engineering managers and solve business problems through scientific solutions.
Track record of addressing realworld problems using machine learning throughout the entire product cycle encompassing problem analysis data processing literature review production deployment monitoring and maintenance.
Strong publication records at toptier venues such as SIGIR KDD WWW ICLR NeurIPS ICML JMLR etc.
Handson experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow. Familiarity with LLMs. Proficiency in fulltext search engines such as Elasticsearch OpenSearch Apache Lucene is also desired.
Knowledge of classical IR models is a plus (boolean vector and probabilistic).
Culture of trust empowerment and constructive feedback open source commitment meetups game nights 70 internal technical and fun guilds knowledge sharing through tech talks internal tech academy and blogs product demos parties & events.
Flexible hours
Work load of 80100
Competitive salary employee share shop 40 Zalando shopping discount discounts from external partners centrally located offices public transport discounts municipality services great IT equipment additional holidays and volunteering time off free beverages and fruits diverse sports and health offerings.
Extensive onboarding mentoring and personal development opportunities and an international team of experts.
Relocation assistance for internationals PME family service and parent & child rooms* *available in selected locations)
INCLUSIVE BY DESIGN
At Zalando our vision is to be inclusive by design. And this vision starts with our hiring we do not discriminate on the basis of gender identity sexual orientation personal expression ethnicity religious belief or disability status. You are welcome to leave out your picture age or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need so we can best support you throughout the hiring process.
our diversity & inclusion strategy: employee resource groups: to work from abroad for 30 (working) days per calendar year
ABOUT ZALANDO
Its the perfect time to join Zalando on our journey from being a pioneer in the world of ecommerce to the starting point for fashion in Europe. We connect customers brands and partners across 23 markets.
Help us drive digital and sustainable solutions for fashion logistics advertising and research bringing headtotoe fashion to more than 48 million active customers through a team of diverse skillsets cultural backgrounds and interests.
Our values https // our sustainability strategy https // us on Instagram instagram/insidezalando
Please note that all applications must be completed using the online form we do not accept applications via email.
Required Experience:
Senior IC
Full-Time