Senior Research Engineer - Machine Learning & DL
ZALANDO
Berlin, Germany
vor 2 Tg.

ABOUT THE TEAM

Department : Sizing Algorithms

Reports to : Data Science Lead

Team Size : 10

Recruiter Name : Rime Asselman

As a Research Engineer in the Berlin based Sizing Team, you will develop algorithms designed to provide Zalando fashion retail customers with the information they need to make choices that reflect their unique size and fit preferences.

WHERE YOUR EXPERTISE IS NEEDED

  • Bring in your experience in developing and deploying Machine Learning and Deep Learning algorithmic based solutions and prototypes to help customers make sense out of confusing sizing systems
  • Propose, build and lead initiatives - feature ownership from development to deployment
  • Build upon your existing engineering and scientific skills and continue developing them
  • WHAT WE’RE LOOKING FOR

  • Ph.D or M.Sc. with equivalent experience in Machine Learning / Data Science / DL and solid understanding of best practices in feature extraction, dimensionality reduction, model validation, and classification
  • Programming languages : Python, and its libraries such as pandas, numpy, scipy
  • Hands on experience with Docker, Git, AWS EC2, S3, ML / DL frameworks such as Tensorflow, Keras, Pytorch, Caffe / Caffe2.0
  • Hands on experience with Postgresql, or other RDBMS
  • Attention to code quality by writing high-performance reusable code including unit tests
  • 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)
  • 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

    At Zalando we deeply understand that Size Matters , and are excited to use our unique and huge article and customer datasets to tackle this challenge using novel ML techniques.

    How about you; would you like to bring in your skills to shape a great experience for your family and friends when buying clothes and shoes online?

    You will join our multi-disciplinary Berlin based Sizing Team, composed of Machine Learning / Deep Learning researchers, engineers, and full stack developers from 10 different nationalities.

    We provide recommendations and predictions on customer size and fit choices, and conduct focused experiments using emerging technologies to solve the challenges.

    Working side by side with other Product Specialists and Fitting Experts you will take on this complex and important topic.

    Your mission is to assist customers as they navigate the vast Zalando fashion catalog using fit characteristics that make sense to them.

    We have great problems to solve, a huge customer base to impact and are a team that loves to have fun. Size and Fit is a human topic.

    We use machines to help solve our customers’ challenges. But we never forget - size and fit success is defined by how customers feel when they wear fashion.

    Bewerben
    Zu Favoriten hinzufügen
    Aus Favoriten entfernen
    Bewerben
    Meine Email
    Wenn Sie auf "Fortfahren" klicken, stimmen Sie zu, dass neuvoo Ihre persönliche Daten, die Sie in diesem Formular angegeben haben, sammelt und verarbeitet, um ein Neuvoo-Konto zu erstellen und Sie gemäß unserer Datenschutzerklärung per Email zu benachrichtigen. Sie können Ihre Zustimmung jederzeit widerrufen, indem Sie diesen Schritten folgen.
    Fortfahren
    Bewerbungsbogen