About Us Opinary has one mission: We make opinions matter. On the web and in real life. Globally, people use our polling technology to share their opinion with one simple click. The instant visualization of opinion trends enables our users to engage in an open dialogue and to understand complex debates. By harnessing latest advances in Machine Learning, NLP and distributed systems design, our platform ensures that our content always stays relevant to the reader.

About Atfarm Atfarm (www.at.farm) is on a mission to feed the world in a more sustainable way. We’re starting by making precision farming available to every farmer by combining the latest in satellite imaging with sophisticated algorithms built on decades worth of experience in agronomy (the science of crops). At our core, we help farmers increase their harvest yield whilst using fertiliser more accurately and sustainably. Atfarm is a new startup venture by Yara International, a leading provider of crop nutrition products, solutions and knowledge to 20 million farmers across 160 countries.

We are looking for a Knowledge Engineer (f/m) who has experience with NLP and Machine Learning and wants to join our Semantic team in Frankfurt, Germany. Beyond the required skills and abilities, we are looking for a highly passionate, optimistic, and confident individual who can work with equal dedication for projects that come along. What you’ll be doing Apply Machine Learning and NLP techniques to develop high-end software solutions for the world’s leading real estate companiesDevelop knowledge representations and vertical ontologiesCreate and maintain linguistic resources (text corpora, dictionaries, rules, etc.

ABOUT THE TEAM Department: Supply & Demand Reports to: Engineering Lead Team Size: <10 Recruiter: Almog Greenberg, almog.greenberg@zalando.de As a Python Backend Engineer in the Pricing & Forecasting team, you’ll bring the engineering perspective into our data science teams. You will build the required microservices serving large data from the models and the pipeline for machine learning. You will challenge our status quo, drive innovation and apply agile best practices. WHERE YOUR EXPERTISE IS NEEDED

Wir suchen Dich als (Senior) Consultant (w/m) Data Science & Artificial Intelligence Als Developer für Data Science und Artificial Intelligence bei MHP entwickelst Du Strategien, Lösungen und Produkte basierend auf den neusten Technologien und beeinflusst somit wie zukünftig Menschen forschen, arbeiten, analysieren und miteinander kommunizieren – mit unseren Themen begeistern wir andere! Du erkennst Chancen und wagst es auch mal alternative, neue Wege zu gehen, ohne das Ziel aus den Augen zu verlieren.

As the Principle Scientist for Pricing & Forecasting, you will be responsible for machine learning innovation in some of Zalando’s most critical products. You will build first-class machine learning solutions that forecast the demand for the 300k+ items that we offer our customers. Using your excellent research skills, you will try to better predict our order cancellation rates and foresee our order return rates. You will leverage cutting edge machine learning technology to optimise our pricing algorithms.

Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere

Develop cutting edge Machine Learning applications Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Forecasting is at the core of our commercial operation. Forecasting tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfil customer demand.

ABOUT THE TEAM Department: Supply & Demand Reports to: Engineering Lead Team Size: <7 Recruiter: Almog Greenberg, almog.greenberg@zalando.de For 60% of customers, good prices are the reason for choosing an online retailer. As a Data Specialist within Zalando’s Competitive Pricing team, you will have a direct and significant impact on our customers, revenues and profits, by making sure our offers across all markets and brands are attractively positioned. As part of our cross-functional agile team consisting of engineers and data scientists, you will automate pricing decisions based on our vast amount of crawled data as well as improve and develop pricing algorithms.

THE OPPORTUNITY Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.

What you will do: Design, develop, drive: Help us build state of the art data pipelines and processing flows for implementing machine learning models that support our core business.Use your brain (a lot): Use your experience, hands-on and can-do attitudes to solve complex problems in one of the most prolific engineering teams in the vast startup hub of Berlin (1600+ releases in 2017).Raise the bar: Your personal skill set and solid experience bring direct impact to our teams.

THE OPPORTUNITY Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.

THE OPPORTUNITY Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.

Major duties and responsibilities: Lead the development and optimization of Python and C/C++ software executed on cloud and deep learning infrastructures using state of the art practices in collaboration with the technical lead of the projectResponsible for defining and implementing QA and best software practices throughout the organizationTechnical survey of C/C++ and python standardsEssential skills and experience required: Deep knowledge of data structures and algorithmsStrong proficiency in Python and C/C++ programming languagesProfessional experience in software engineering, software design patterns and software testingProfessional experience using UNIX/Linux operating systemsGood team player and fluent EnglishStrong work ethicPreferred:

We are looking for an experienced full-stack machine learning engineer to join our team. As part of the early team you work directly with the founders and have the opportunity to significantly shape our codebase and infrastructure (Python, TensorFlow, Docker, continuous deployment to Google Cloud Platform). At the core of your position is designing, implementing, training and evaluating state-of-the-art machine learning algorithms that accurately model financial markets. Your position also includes designing large-scale data pipelines, improving our stock market trading simulation, implementing innovative portfolio optimization concepts and everything else that pops up along the early days of a startup.