Die KI-Suchmaschine für Jobs
Principal Applied Scientist(m/w/x)
Leading R&D for real-time bidding and allocation algorithms in a fashion e-commerce marketing unit. Expertise in productionizing ultra-low latency ML models and deep optimization theory required. Employee shares program, 40% fashion discount, 2 paid volunteering days.
Anforderungen
- Proven track record of research excellence
- At least 7 years of experience in optimizing complex systems
- Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning
- Expert knowledge of productionalizing ML models within ultra-low latency constraints
- Strong proficiency in Python and related stack
Aufgaben
- Lead research and development of real-time bidding and allocation algorithms
- Optimize for long-term platform health, advertiser performance, and user relevance
- Advance Auction and Mechanism Design capabilities
- Ensure a fair, efficient, and transparent marketplace
- Collaborate with Product Managers, Engineers, and Analysts
- Translate complex business constraints into mathematical objective functions
- Drive the long-term scientific and execution roadmap for ZMS Ad Tech
- Foster a culture of technical excellence
- Mentor and grow senior team members
Berufserfahrung
- 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
Benefits
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Sinnstiftende Arbeit
- 2 paid volunteering days a year
Flexibles Arbeiten
- Hybrid working model
- Flexible hours
Workation & Sabbatical
- Work from abroad for up to 30 days a year
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support and coaching
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Principal Applied Scientist(m/w/x)
Leading R&D for real-time bidding and allocation algorithms in a fashion e-commerce marketing unit. Expertise in productionizing ultra-low latency ML models and deep optimization theory required. Employee shares program, 40% fashion discount, 2 paid volunteering days.
Anforderungen
- Proven track record of research excellence
- At least 7 years of experience in optimizing complex systems
- Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning
- Expert knowledge of productionalizing ML models within ultra-low latency constraints
- Strong proficiency in Python and related stack
Aufgaben
- Lead research and development of real-time bidding and allocation algorithms
- Optimize for long-term platform health, advertiser performance, and user relevance
- Advance Auction and Mechanism Design capabilities
- Ensure a fair, efficient, and transparent marketplace
- Collaborate with Product Managers, Engineers, and Analysts
- Translate complex business constraints into mathematical objective functions
- Drive the long-term scientific and execution roadmap for ZMS Ad Tech
- Foster a culture of technical excellence
- Mentor and grow senior team members
Berufserfahrung
- 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
Benefits
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Sinnstiftende Arbeit
- 2 paid volunteering days a year
Flexibles Arbeiten
- Hybrid working model
- Flexible hours
Workation & Sabbatical
- Work from abroad for up to 30 days a year
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support and coaching
Über das Unternehmen
Zalando Marketing Services GmbH
Branche
Other
Beschreibung
Zalando Marketing Services is a marketing unit for Zalando's brand partners, offering diverse products across multiple channels for advertising objectives.
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