Applied Science Manager - Machine Learning & DL

☞ Zalando

Aussicht: 195

Update Tag: 07-10-2024

Ort: Berlin Bremen Brandenburg

Kategorie: R & D IT - Software

Industrie: Internet Retail Information Technology Services

Position: Mid-Senior level

Jobtyp: Full-time

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Jobinhalt

As an Applied Science and Research Lead in the Size and Fit organization, you will lead a team of exceptional scientists to create bold research experiments with today’s most exciting approaches such as Deep Learning, Computer Vision, NLP, Reinforcement Learning, and Bayesian Inference, tackling impactful customer problems for millions of Zalando customers.

We are looking for a leader with strong technical experience and demonstrated passion for people leadership in a fast-paced research and production environment. In addition to technical depth, you must possess exceptional research management and communication skills, and above all, be a strong people leader who understands how to effectively coach an applied science team.
WHERE YOUR EXPERTISE IS NEEDED

  • Be a leader in Data Science- Raise the scientific bar across your team and Zalando through publications in prestigious international conferences, and engaging in rigorous peer reviews. Actively collaborate with other teams and share knowledge and expertise within our talented applied science community
  • Empower the team to stay up-to-date with the latest research in computer vision, machine learning, deep learning and AI. Provide egoless and constructive scientific feedback to peers. Coach junior colleagues to become great researchers
  • Scale up, manage and mentor other junior and senior scientists, reviewing and guiding their work. Work closely with other senior leaders and engineering & product team members to bring our state of the art solutions to customers

WHAT WE’RE LOOKING FOR

  • Ph.D or M.Sc. with equivalent experience in Data Science / Machine Learning / Deep Learning.
  • 3+ years of experience in leading applied science and research teams in industry or academia
  • Solid publication track record in major machine learning, deep learning and data science conferences and journals
  • Prior experience in tackling real world challenging problems using AI. Demonstrated ability to mentor and grow other scientists
  • Expert in Python (and packages like numpy, scipy, pandas),TensorFlow (keras, slim), Caffe2, Pytorch. Hands on experience with Docker, Git, AWS EC2, S3, Postgresql, or other RDBMS. Nice to have Stan, PyMC, DataBricks.

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

Finding clothes and shoes that fit is the biggest problem for customers shopping fashion online and offline. At Zalando we deeply understand Size and Fit matters in Fashion, 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 Size and Fit organization, composed of Machine Learning / Deep Learning researchers, engineers, and full stack developers from 25+ different nationalities. We provide computer vision solutions, recommendations, and predictions on customers size and fit choices, and conduct focused experiments using emerging AI technologies to solve Fashion challenges that matter.

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.
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Frist: 21-11-2024

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