Zalando

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Originele vacaturetekst

Senior Machine Learning Engineer at ZMS (w/d/m)

As a Senior Machine Learning Engineer, you will develop and improve real-time recommendation engines for our Sponsored Product advertisements.

THE OPPORTUNITY

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 design, develop and run the recommendation engine that optimizes this process - with emphasis on high-load low-latency Engineering techniques. The technical scope covers high-availability engineering, concurrent programming, network programming, distributed systems, distributed databases, large-scale data processing, stream processing, algorithm performance and system performance optimization.

WHERE YOUR EXPERTISE IS NEEDED
  • Improve our real-time recommender system, especially on engineering aspects (resource efficiency, reliability, maintainability etc.)
  • Improve the pace of innovation and experimentation by building and improving ML infrastructures
  • 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
  • 3+ years of experience in a) high-load real-time API development or b) large-scale data processing. Experience in developing and running ML enabled systems is highly preferred
  • Expertize in either: a) concurrent programming (multi-threading), network programming, distributed databases, microservice architecture, or b) large-scale data processing (experience in stream processing is preferred)
  • Good grasp in basic statistical concepts and Machine Learning (experience in modelling is NOT required)
  • Experience in some of the following technologies: Java, Python, Scala, C++, Go, Flink, Storm, Spark Streaming, Kafka, Spark, Presto, Redshift, Vertica, Airflow, numpy, scipy, scikit-learn
  • Outcome-obsessed, pragmatic engineer 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 andblogs, 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)

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.

ABOUT ZALANDO MARKETING SERVICES

At Zalando Marketing Services we create meaningful connections between brands and consumers through a deep understanding of their personalities. We work with brands, agencies and publishers from fashion and beyond to produce innovative, impactful campaigns that reach the right audience at the right moment. Thanks to its holistic mix of cutting-edge and privacy compliant technology, in-depth audience insights, expansive reach and compelling content brands produce successful campaigns across multiple digital marketing channels.

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.

Please note that all applications must be completed in English using the online form - we do not accept applications via e-mail.

Art des Stellenangebotes:
Intern

Fähigkeiten

  • Es ist kein Abschluss erforderlich

Was wir bieten

Vertrag:
Full-Time