Ericsson Careers

ML and AI Engineer

Santa Clara, California
Research & Development

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English (US)

Job Description

Date: Nov 16, 2018

Our Exciting Opportunity:

 

It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that 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. We are setting up a Global AI Accelerator in the US, Sweden and India, with 300 experts, to fast-track our strategy execution.

 

Machine Intelligence, the combination of Machine Learning (ML) and other Artificial Intelligence (AI) technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and build new value through data insights.

 

Ericsson is now looking for Machine Learning Engineer to significantly expand its global team for AI acceleration for our group in Santa Clara.

 

Do you have in depth understanding of ML and AI technologies?

 

Do you want to apply and extend those skills to solve real 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 Engineers/Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data?

 

Role Summary:

 

As a Machine Learning Engineer, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools. You will use your knowledge and/or experience in Data Science methodologies apply them to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses.

 

Your Roles and Responsibilities

  • Conduct functional and technical analysis within Ericsson organization and strategic customers to understand MI-driven business needs and opportunities
  • Contribute to rapid and iterative development of validated minimum viable solution addressing these needs. 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
  • Work with new technologies and champion them in MI Communities within Ericsson.
  • Assist MI Competence build-up in Ericsson Businesses and Customer Serving Units
  • 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

     

    To be successful; one should have:

     

  • MS, or PhD in Electrical Engineer, Computer Science, Artificial Intelligence, Machine Learning, Physics, or related field
  • Applied experience: 2+ years of Machine Learning experience
  • Proven experience writing production-grade software
  • Experience in model development and life-cycle-management in one or more industry/application domain
  • Programming skills in various languages (Python, C++, Scala, Java OR R) with proficiency in Python and/or C++
  • Understanding of Machine Learning, e.g.: linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.
  • Knowledge and skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow and Spark, etc.
  • Demonstrated ability to implement new algorithms and methodologies from leading open source initiatives and research papers addressing their functionalities, scalability and overall industrialization viability
  • Statistics knowledge, e.g.: descriptive analysis and supervised and unsupervised analysis
  • Experience with Big Data technologies such as Hadoop, Cassandra etc.

**LI-BF1

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.

 

We are proud to be an EEO/AA employer M/F/Disabled/Veterans.  We maintain a drug-free workplace and perform pre-employment substance abuse testing.

 

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, protected veteran status, union membership or genetics information. 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.

 

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Ericsson will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by Ericsson or (c) consistent with Ericsson’s legal duty to furnish information.

 

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Ericsson is an equal opportunity employer and is committed to providing reasonable  accommodation for qualified disabled individuals during the application and hiring process.  Ericsson will make modifications or adjustments to the job application or interview process that will enable a qualified applicant to be considered for a position.  If you require an accommodation due to a disability, please contact Ericsson at hr.direct.dallas@ericsson.com or (866) 374-2272 (US) or (877) 338-9966 (Canada) for further assistance.

 

Primary country and city: United States (US) ||  || Santa Clara || R&D