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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 utilizing stateoftheart natural language processing (NLP) and/or information retrieval (IR) methods particularly transformerbased deep neural networks and large language models (LLMs).
As a Senior Principal 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 NLP and IR to enhance the inspiration journey of millions of our customers in large scale projects. Collaborate with multiple teams to create a cuttingedge science stack that aligns with the product strategy and drive architectural and design principles.
Develop long term roadmaps for research topics that span multiple product areas and address concrete business goals. As part of the leadership team be the sparring partner and trusted advisor for Zalando senior leadership and advise on investments in people strategic direction and make or buy decisions.
Act as a mentor and guide to senior and principal scientists and actively share knowledge and expertise within Zalandos science community.
Forge close partnerships with applied science leaders and product managers to deliver stateoftheart machine learning solutions to our customers and uncover new opportunities for growth.
WHAT WE ARE LOOKING FOR
PhD in NLP IR machine learning or related fields (or equivalent experience) accompanied by 8 years of industry experience especially deep learning based NLP and/or IR methods.
Experience leading and shaping the scientific roadmap of the teams in products that span across multiple areas and working with senior AS leaders. Ability to discover new business opportunities collaborating with product science and engineering managers and solve business problems through scientific solutions.
Extensive track record of addressing realworld problems using machine learning throughout the entire product cycle and raises departments and Zalandos best practice in methods algorithms and technology including architecture design patterns and research roadmaps.
Authority on deep learning and extensive track record to leveraging research to advance the state of the art including strong publication records at toptier venues such as ACL NAACL EMNLP SIGIR KDD WWW ICLR NeurIPS ICML JMLR etc.
Extensive handson experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow. Expertise with LLMs and their applications in IR. Proficiency in cloud computing platforms such as AWS is also required.
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.
Competitive salary employee share shop 40 Zalando shopping discount discounts from external partners centrally located offices public transport discounts municipality services great IT equipment flexible working times 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)
We celebrate diversity and are committed to building teams that represent a variety of backgrounds perspectives and skills. All employment is decided on the basis of qualifications merit and business need.
Zalando is Europes leading online platform for fashion connecting customers brands and partners across 17 markets. We drive digital solutions for fashion logistics advertising and research bringing headtotoe fashion to more than 23 million active customers through diverse skillsets interests and languages our teams choose to use.
Required Experience:
Staff IC
Full-Time