Senior or Principal Applied Scientist Machine Learning (w/m/d)
Zalando (BE Berlin Berlin Germany BE, België)
11 dagen geleden gepost
As Senior or Principal Applied Scientist, you will develop and improve real-time recommendation engines for our Sponsored Product advertisements.
Every time a customer searches for products on Zalando, a bidding request is sent to our system in real-time. The system aggregates relevant data points, evaluates thousands of candidate ads with our machine learning models, and decides what product to show where - all within 10-30 ms. Every second, we score tens of thousands of ad contents
In this position, you will lead our optimization effort that combines high-load low-latency Engineering, Machine Learning and auction theory. The technical scope covers Large Scale Bayesian Inference, Incrementality Modelling, Deep Learning, Large Scale Online Experimentations, Auction Design and so on. In the future we expect to add Image Processing/Generation and Natural Language Processing to the mix.
WHERE YOUR EXPERTISE IS NEEDED
Improve our real-time recommender system, using data like cross-device graph, user history, browsing history, customer preference, various metadata, images and embeddings of items and contents etc.
Improve the pace of innovation and experimentation by improving our approach to optimization
Collaborate with brilliant Product Managers, Data Scientists, Engineers and Analysts across Zalando to create positive customer impact together
Help define our team's objective. Continuously improve the self-organization of the team.
Mentor and grow junior and mid-level members of the team
WHAT WE’RE LOOKING FOR
At least one peer reviewed publications in relevant fields like ad optimization, recommendation, information retrieval, machine learning is required (please include it in your application)
At least 5 years of experience in optimizing business metrics through automated algorithms (recommendation engines, information retrieval, pricing etc.)
Good understanding of the theory behind Machine Learning methods, as well as knowledge of best practices in productionalizing them in a real-time systems
Experience with large volumes of sparse categorical data, linear models, Python is a strong plus, but not strictly required
Outcome-obsessed, pragmatic scientist who is relentlessly focused on creating positive customer impact
PERKS AT WORK
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)
Family- and life-friendly working conditions including flexible working hours (*available for selected departments/positions)
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 Marketing Services (ZMS) is the 360° marketing unit of Europe’s leading online platform for fashion and lifestyle, Zalando. We work with the world’s largest fashion and lifestyle brands and provide them with impactful solutions across all marketing touchpoints, access to relevant audiences and in-depth data knowledge, as well as inspiring creation and content.
Our team spearheads our data-driven advertising solutions, which plays an important part in our platform strategy. Here, you’ll be involved in creating end-to-end, data-driven solutions that improve the experience of both our end consumers and advertising clients. You will collaborate with a wide range of teams across Zalando to continuously improve our company-wide data-driven optimization culture and infrastructure. You will pioneer data/evidence driven optimization of business at Europe’s largest fashion online retailer, and push the boundary of what is possible.