Senior Applied Scientist
Miejsce pracy : Wrocław
Technologies we use
Expected
- Python
- PyTorch
- TensorFlow
- Elasticsearch
- OpenSearch
Operating system
WindowsAbout the project
Together with our partner, a prominent Online Fashion & Beauty Retailer in Europe, we’re looking for an experienced Applied Scientist to join a Discovery Team!
The Discovery team 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, utilizing state-of-the-art recommender systems, natural language processing (NLP) methods, particularly transformer-based deep neural networks and large language models (LLMs).
As a Senior Applied Scientist you will play a key role in addressing challenging fashion problems using cutting-edge approaches. You will help drive our scientific roadmap, applying your scientific capabilities to deliver department-wide and cross-department projects in collaboration with multiple teams. Working closely with Zalando science leaders, you will guide a team of exceptional scientists and engineers to develop models and cutting-edge machine learning products that enhance the experience of over 51 million customers.
Your responsibilities
Utilize your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions in IR to enhance the inspiration journey of millions of our customers. 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 scientific roadmaps to address complex fashion challenges using state-of-the-art solutions, ensuring we stay at the forefront of IR innovation. Contribute to our scientific endeavors through internal peer reviews and external publications in top-tier journals and conferences.Act as a mentor to junior and senior scientists, foster collaboration with other teams, and actively share knowledge and expertise within Zalando’s science community.Forge close partnerships with applied science leaders, product managers, and other business stakeholders to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth.Our requirements
PhD in IR, search & recommendation, information & knowledge management, or related fields (or equivalent experience), accompanied by 6+ years of industry experience in modern IR systems, especially neural IR. Comprehensive understanding of the key components of an IR system, including query processing, indexing, evaluation, etc.Experience in developing long-term research roadmaps and applying scientific methods to tackle research problems. A strong inclination to collaborate with product, science, and engineering managers and solve business problems through scientific solutions.Extensive track record of addressing large-scale real-world problems using machine learning throughout the entire product cycle, encompassing problem analysis, data processing, literature review, production deployment, monitoring, and maintenance.Publication records at top-tier venues such as SIGIR, KDD, WWW, ICLR, NeurIPS, ICML, JMLR, etc.Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow. Familiarity with LLMs. Proficiency in full-text search engines such as Elasticsearch, OpenSearch, Apache Lucene is also desired.Knowledge of classical IR models is a plus (boolean, vector, and probabilistic).This is how we organize our work
This is how we work
in housescrumThis is how we work on a project
code reviewDevelopment opportunities we offer
development budgetindustry-specific e-learning platformsintracompany trainingsubstantive support from technological leaderstechnical knowledge exchange within the companyWhat we offer
Paid VacationSick DaysSport / Insurance CompensationEnglish ClassesCharityTraining CompensationZOOLA TECH POLAND sp. z o.o.
Zoolatech is a Software development company. Now we have around 400 team members in Ukraine, Mexico, Turkey, Poland and we continue to grow.
Zoolatech was founded on the idea of creating a harmonious, collaborative environment for all of our team members and our clients that, once they have discovered it, they will never want to leave. We are building a family-like atmosphere where clients and team members act as partners and share common goals.
Our clients are awesome people who like what they do, so we work hard to make their products incredible. We help them achieve their desires and dreams.
We work with big enterprises and small startups from the USA and Europe. Our customers make the world better in many areas : Retail, Media & Entertainment, Logistics, FinTech, Renewable Energy, Healthcare, Agriculture, Construction & Real Estate, Travel & Hospitality and High Tech.
Mission : Our mission is to create an environment of professionalism and friendliness that will provide an excellent working environment for employees and outstanding service for the clients.
At Zoolatech, everyone creates their own story : it can be about complex architecture, sports, a full and healthy life, or something completely new and exciting that you will bring to us and unite others around it.
We have values that our employees and clients share :
Extreme Ownership
We own everything within our reach : our work, our results, our relations with coworkers and clients, our careers and professional growthWe don't blame others and circumstancesWe face challenges, and we’re not hesitant to ask for help when neededLearn from Failure
We love learning and dare to try making things differently and betterWe are smart not to make the same mistake for the second timeWe prefer taking risks and actions to staying stillSpeak Up
We care for what is going on within our reachWe know we are empowered to make a changeWe do not pretend nothing happens when we see mediocrity, injustice, or plain indifferenceZoola Clients
We want our clients to be with us foreverWe religiously believe that the only way to our success is our clients successWe care about the products we work on, and about people who use itLive a Full, Healthy Life.
We measure success by the value delivered, not the time spent workingWe care about our physical and mental healthWe believe that happy and healthy people are more productive.