Many of the challenges of renewable energy revolve around different kinds of time series forecasting. How much energy will a solar plant produce during a given window of time? How much will a particular consumer require? How can we resolve discrepancies between the two in a cost-effective way? As part of our data science team you will research cutting edge, scalable machine-learning solutions to challenges like these, with a strong focus on driving improvements directly to production systems.

At Audatic, we build systems to render speech from any sound scenario clear and free of noise using state of the art deep learning technology. With this, we enable millions of people with hearing loss to enjoy interactions in social settings like bars or restaurants. Deep Learning Engineers form the core of our team at Audatic. If you are excited to develop and test novel algorithmic architectures for customisable sound environments, we have a fantastic job opportunity for you.

Mission As a ML Engineer in the engineering department, you will be working on our key business challenges. The solutions you provide will have a large impact on our success and on our partners’ success. Understanding the buying data from millions of customers is something you love and predicting their best fitting product is your Christmas. And using the latest technologies to normalise product data as well as finding a way to automise data queries is your dream job.

At Audatic, we build systems to render speech from any sound scenario clear and free of noise using state of the art deep learning technology. With this, we enable millions of people with hearing loss to enjoy interactions in social settings like bars or restaurants. Deep Learning Engineers form the core of our team at Audatic. If you are excited to develop and test novel algorithmic architectures for customizable sound environments, we have a fantastic job opportunity for you.

To revolutionize the future of transportation, one has to go one step further and set standards today. Smart technologies which are strongly taking over driving tasks and providing improved safety and comfort are already in place in our commercial vehicles today. But our vision is that “We make transportation smart”. So, we need visionary thinkers and creative developers as well as experts in the fields of data engineering, machine learning, artificial intelligence, sensor technology and software development to achieve this vision.

At Audatic, we are building systems to intelligently modify sound using state of the art deep learning technology and unique datasets. This will enable millions of people with hearing loss to enjoy interactions in social settings like bars or restaurants again. In order to realize this, we require an efficient and tailored infrastructure that enables our state-of-the-art deep learning architectures to train on our GPU cluster. If this sounds interesting to you, and you are looking to immerse yourself in cutting-edge technology, we have the perfect job for you!

To revolutionize the future of transportation, one has to go one step further and set standards today. Smart technologies which are strongly taking over driving tasks and providing improved safety and comfort are already in place in our commercial vehicles today. But our vision is that “We make transportation smart”. So, we need visionary thinkers and creative developers as well as experts in the fields of data engineering, machine learning, artificial intelligence, sensor technology and software development to achieve this vision.

Our product and mission Our core product, HoloBuilder.com, is a web based editor allowing users to create digital twins of (construction) projects. Users can import their 2D floor plans or 3D BIM models and document the current project status using 360° pictures. Additionally, we are offering our customers automatic image analysis via deep learning, embedding task management systems, 3D measuring in 360° pictures, virtual site inspections and more. Your role in our team

Hi. Wir sind InVision. Seit 1995 entwickeln wir unsere eigenen Softwareprodukte, die weltweit von zehntausenden Contact-Center-Mitarbeitern genutzt werden. Unsere Workforce-Management-Software und E-Learnings helfen unseren Kunden, den Einsatz und die Weiterbildung ihres Personals zu optimieren. Dabei wollen wir immer besser werden und uns gemeinsam weiterentwickeln. Bei uns findest Du nicht nur genug Freiraum für Deine kreative Entfaltung, sondern auch eine Kultur, die von Teamwork, Leidenschaft und Vertrauen geprägt ist. Für unser Team im Düsseldorfer Medienhafen suchen wir Dich als Data Scientist.

Hi. Wir sind InVision. Seit 1995 entwickeln wir unsere eigenen Softwareprodukte, die weltweit von zehntausenden Contact-Center-Mitarbeitern genutzt werden. Unsere Workforce-Management-Software und E-Learnings helfen unseren Kunden, den Einsatz und die Weiterbildung ihres Personals zu optimieren. Dabei wollen wir immer besser werden und uns gemeinsam weiterentwickeln. Bei uns findest Du nicht nur genug Freiraum für Deine kreative Entfaltung, sondern auch eine Kultur, die von Teamwork, Leidenschaft und Vertrauen geprägt ist. Für unser Team im Düsseldorfer Medienhafen suchen wir Dich als Data Scientist.

Your Tasks You will develop and operationalize machine learning models in a balanced team of software engineers, data engineers, designers and product managersYou will help to identify, shape and implement data-driven product featuresYou will participate at meetups, conferences and the research community and apply what you’ve learned back at your daily workYou will take an active part in building up the newly created machine learning/data science teamYour Profile A scientific education in mathematics, statistics, economics, computer science, machine learning or similarPrevious work experience in data science, machine learning or similarExperience with programming languages such as Python, R or Scala and SQLExperience with the PyData stack (pandas, scikit-learn, keras and many more)Experience with the command line, shell scripting and version control (Git)Strong theoretical and practical understanding of machine learning and statisticsExperience with distributed computing frameworks (Spark, Hadoop and Flink), deep learning algorithms (feed-forward, CNNs, RNNs) and cloud services (AWS, Google Cloud)Experience with modern agile software development practices like test-driven development, pair programming, CI/CD etc.

SwissBorg’s Post Graduate Program Are you a recent graduate looking to enter the paradigm-shifting blockchain and crypto space? Do you want to expand your horizon and be part of the change that the new technology is ushering? Do you want to work with a fabulously diverse and open-minded team of brilliant engineers and professionals? If, yes, then you need to take a look at this great opportunity that we are offering.

You and Your Role We’re looking for a generally nice and smart person to join our development and research team in Berlin. You have an academic background in machine learning and at least 3 years of hands-on industry experience.You consider yourself a Data Scientist beyond just using BI tools.You can verify your findings with sound & solid statistics.You’ve implemented different ML algorithms yourself and know which toolboxes offer well written variants of them.

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.