Senior Principal Applied Scientist - Feed Reinforcement Learning (all genders)
Senior Principal Applied Scientist - Feed Reinforcement Learning (all genders)
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Job Description
Senior Principal Applied Scientist - Feed Reinforcement Learning (all genders)
The Ranking team at Zalando assists customers in their fashion discovery journey and helps them find what they are looking for. We are developing the next generation of our discovery systems utilising state-of-the-art Reinforcement Learning (RL) methods including multi-armed bandits deep reinforcement learning and large-scale sequential decision-making frameworks to create highly personalised and engaging customer experiences by optimizing content selection for customer feeds.
As a Senior Principal Applied Scientist you will address challenging fashion problems using cutting-edge approaches. You will contribute to drive our scientific roadmap applying your scientific capabilities and in collaboration with a team of exceptional scientists and engineers developing models and cutting-edge machine learning products that enhance the experience of over 53 million customers.
WHERE YOUR EXPERTISE IS NEEDED
- Utilise your extensive scientific experience in researching deploying and architecting machine learning and deep learning solutions particularly in Reinforcement Learning including multi-armed bandits or large-scale sequential decision-making problems to enhance the inspiration journey of millions of our customers through dynamic content selection for feeds in large-scale projects. Collaborate with multiple teams to create a cutting-edge science stack that aligns with the product strategy and drive architectural and design principles.
- Develop long-term roadmaps for research topics that span multiple product areas and address concrete business goals. As part of the leadership team be the sparring partner and trusted advisor for Zalando senior leadership and advise on investments in people strategic direction and make or buy decisions.
- Act as a mentor and guide to senior and principal scientists and actively share knowledge and expertise within Zalandos science community.
- Forge close partnerships with applied science leaders and product managers to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth. This includes driving and delivering large delivery projects with high uncertainty in production applying the scientific approach to solve complex challenges and communicating and aligning with other teams stakeholders and senior leadership. You will support and work on deploying developing implementing testing and researching ML models for personalisation ranking recommendations and content selection for feeds.
WHAT WE ARE LOOKING FOR
- PhD in Reinforcement Learning Machine Learning Control Theory Operations Research or related fields (or equivalent experience) accompanied by 8 years of industry experience especially in deep reinforcement learning multi-armed bandits or large-scale sequential decision-making systems ideally applied to content selection personalization or ranking in feed-based products.
- Experience leading and shaping the scientific roadmap of teams in products that span across multiple areas and working with senior Applied Science leaders. Ability to discover new business opportunities collaborating with product science and engineering managers and solve business problems through scientific solutions.
- Extensive track record of addressing real-world problems using machine learning throughout the entire product cycle and raises department and Zalandos best practice in methods algorithms and technology including architecture design patterns and research roadmaps.
- Authority on deep learning and extensive track record in leveraging research to advance the state of the art including strong publication records.
- Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow for RL implementations. Proficiency in cloud computing platforms such as AWS is also required.
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 selected 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
Zalando is Europes leading online platform for fashion connecting customers brands and partners across 17 markets. We drive digital solutions for fashion logi
stics advertising and research bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets interests and languages our teams choose to use.
Required Experience:
Staff IC
Employment Type
Full-Time
