Master Thesis Worker - Global AI Accelerator
We welcome the opportunity to meet you!
Why is Ericsson a good place to work:
Ericsson enables communications service providers to capture the full value of connectivity. The company’s portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help our customers go digital, increase efficiency, find new revenue streams, and create new user experiences. Ericsson’s investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world ensuring our solutions – and our customers – are at the forefront of innovation. We support networks that connect more than 2.5 billion subscribers. With close to 100,000 employees and customers in 180 countries, we combine global scale with technology and service leadership. 40 percent of the world’s mobile traffic is carried over an Ericsson network. And, our Technology for Good and Connect to Learn programs include creating technology that makes it easier to save lives, feed societies, bring technology to emerging markets and connectivity to remote areas, and grow businesses and prosperity.
At Ericsson, we give our employees the freedom to think big and navigate their career, on a global scale. We create technology that helps others, from helping people enjoy their favourite content to helping people recover from natural disasters by enabling better communications between rescue workers. Your ideas and innovations can turn into achievements that impact society and change the world, creating new connections, new possibilities, and new capabilities. Next generation technology can be staggeringly complex. But the simpler it is to use; the more people benefit from it. Join us and help build technology that makes it simple to connect with information, business, societies, and each other.
Global AI Accelerator
Ericsson is now looking for Master Thesis Workers with ML/AI skills and good coding skills in Python/Java/C++ or other languages to work on interesting problems as part of their Global AI Accelerator team. One or more skills are sufficient in the Data Science domain is what we are looking for.
- Do you have understanding of ML and AI technologies?
- Do you want to apply and extend those skills to solve real world, complex problems with high societal impact; going beyond ML/AI for consumption and advertising?
Then, you do want to join Ericsson’s global team of Data Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data.
You are an aspiring data scientist who gets inspired by large datasets, solving complex problems in a cross functional team of data scientists and subject matter experts. You like pushing the latest technology boundaries in the data science field. You have a a good understanding of machine learning in practice. In this role you will be applying machine learning in the telecommunications network domain. We are constantly looking for new ways to improve and automate current and future generations of radio systems, managed services, IoT and support no solutions.
Our Exciting Opportunity:
In the fifth-generation mobile networks 5G, AI technologies are an integral part of making the networks meet the new challenges and deliver performance that far exceeds networks of today. 5G networks with distributed edge compute, will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity.
Already today, in order to create value from data in real time, we use several methods including reinforcement learning, deep learning, semantic reasoning and more conventional learning techniques. By using these technologies, we are able to maximize the output for each function in our highly distributed and decentralized networks making them more resilient, adaptive and optimized than has ever been possible before. Machine Learning and other AI technologies also allows us to fuel new innovation we can’t imagine today.
Purpose of the Job Role:
As a Master Thesis Worker, you will need to have good programming skills and understanding of data science and Machine Learning tools. Have good understanding in Data Science methodologies and how to apply them to solve challenging real-world problems as part of a highly dynamic and global team. You have good communication, collaboration and planning skills. You will be working on high impact initiatives with other specialists in Machine Intelligence to accelerate current Ericsson offerings as well create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses.
Responsibilities & Tasks:
- Conduct functional and technical analysis within Ericsson organization to understand MI-driven business needs and opportunities
- Contribute to rapid and iterative development of high quality ML/AI applications. This includes working with petabytes of 4G/5G-networks, IoT and exogenous data, and proposing/selecting/testing predictive models, recommendation engines, anomaly detection systems, statistical model, deep learning, reinforcement learning and other machine learning systems
- Conduct studies and find creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones, as needed.
- Collaborate with product development teams and partners in Ericsson Businesses to industrialize machine learning models and solutions as part of Ericsson offerings including providing source code, workflows and documents
- Help to develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiatives
- Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs
- Good skills in Machine Learning especially techniques such as Linear/Logistic Regression, Bagging, Bayesian model, Neural Networks, Random forest, Gradient boosting, Hyperparameter optimization techniques etc.
- Possibly a Good understanding (Github, open source etc.) in the use of current state of the art machine learning frameworks such as Keras, TensorFlow, Scikit-Learn, H2o, Spark etc. in developing ML/AI applications
- Know about data wrangling and data munging, using Big Data technologies
- Good analytical skills and ability to acquire new knowledge and apply it in the job
- Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++
- Good communication skills in written and spoken English
- Creativity and ability to formulate problems and solve them independently
- Ability to develop and drive new ways of working, to produce deliverables in a more efficient way
MINIMUM QUALIFICATION AND EXPERIENCE REQUIREMENTS
- MSc, or PhD in Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field (e.g. applied mathematics/statistics)
Location: Stockholm, Kista
Contact person: Miroslaw Cos
Please submit your application in English as soon as possible - we are working continuously with candidate selection. Application end date is 31st of January 2019.
Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics.
Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.
Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.
Primary country and city: Sweden (SE) || || Stockholm || Stud&YP
Req ID: 263940