ABOUT TEAM - PRSB
PRSB's Inspiration & Entertainment team is developing the next step to go beyond the transactional model and focus on engagement and inspiration, using state-of-the-art machine learning models (including recommender systems, GenAI/LLMs, neural search) to offer an exciting and inspirational experience.
As a Principal Applied Scientist, you will play a key role in addressing challenging fashion problems using cutting-edge approaches. You will help drive our scientific roadmap, applying your scientific capabilities to deliver department-wide and cross-department projects in collaboration with multiple teams. Working closely with Zalando science leaders, you will guide a team of exceptional scientists and engineers to develop models and cutting-edge machine learning products that enhance the experience of over 51 million customers.
What We'd Love You To Do (And Love Doing)
Utilize your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions to enhance the inspiration journey of millions of our customers. Collaborate with multiple teams to create a cutting-edge science stack that aligns with the product strategy and drive architectural and design principles.
Develop long-term scientific roadmaps to address complex fashion challenges using state-of-the-art solutions, ensuring we stay at the forefront of innovation. Contribute to our scientific endeavors through internal peer reviews and external publications in top-tier journals and conferences.
Act as a mentor to junior and senior scientists, foster collaboration with other teams, and actively share knowledge and expertise within Zalando’s science community.
Forge close partnerships with applied science leaders, product managers, and other business stakeholders to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth.
We’d love to meet you if..
PhD in computer vision, deep learning, search & recommendation, or related fields (or equivalent experience), accompanied by 6+ years of industry experience.
Experience in developing long-term research roadmaps and 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.
Extensive track record of addressing large-scale real-world 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 top-tier venues such as SIGIR, KDD, WWW, ICLR, NeurIPS, ICML, JMLR, etc.
Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow.
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.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
OUR OFFER
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 select locations)
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
