We are seeking a hands-on Research and Engineering Intern with deep knowledge and interest in semantic technologies and knowledge graph with a focus on their extensions and industrial application. Our research group works with Siemens’ business units from the early phase of finding opportunities through designing solutions and implementing prototypes as well as government funding agencies to develop cutting edge application prototypes and end solutions. To succeed in this role, we need someone who has the ability to think out of the box, innovate and find sound solutions to customer problems and help us transform industry! This right person for this role has knowledge and experience in semantic technologies (ontologies, rules, standards, interoperability, validation), semantic web services, and knowledge representation and reasoning formalisms (OWL/RDFS). The candidate will also have competencies in knowledge graph technologies or linked data platforms. The candidate is interested in developing skills related to transferring semantic methods to - and providing working solutions for - scientific and industrial applications. The Challenge In this role as a Research and Engineering Intern, you will: Apply knowledge representation and semantic reasoning to real-world industrial problems. Contribute to the implementation of research projects and develop semantic models/applications to be executed on various types of systems. Be involved in stages of semantic data development including but not limited to semantic data modeling, data/entity extraction, natural language alignment techniques, knowledge graph construction, semantic frontend and querying. The Candidate Qualified candidates will have: B.S. or M.S in Computer Science, Engineering, or related discipline Active experience with modeling languages such as OWL/RDFS; experience with data-driven ontology development a plus Familiarization with technologies such as SPARQL, SPIN, RESTful Semantic Web Services, Semantic Reasoning. Practical experience with Web Service Technologies, Semantic Web, Semantic Sensor Networks, Semantic Search and Reasoning. Experience implementing Natural Language algorithms or experience with Natural Language Understanding applications and libraries such as NLTK, Spacy, etc. Experience using some form of GraphDB or Triple store (e.g., Virtuoso, Neo4j, Neptune): population, operations, querying (e.g., SPARQL, Cypher, Gremlin), and application integration. Familiarization developing and deploying semantic applications. Outstanding written and verbal communication skills. Excellent interpersonal skills and a can-do attitude. Ability to work independently and prioritize work. Strong collaboration skills and ability to thrive in a fast-paced environment. Flexibility and adaptability to work in a diverse and dynamic team. Mix of technical curiosity and feel for business relevance. Preferred Qualifications Experience building recommendation engines and other analytics applications using AI, Machine Learning Experience in Data Extraction, Transformation and Load (ETL) from various data sources (relational, non-relational, log, text, and etc.) Experience with standards such as FSGIM, BIM, CIM, EDDL, OPC UA, ISA 88, ISA 95, etc. a plus. Familiarization with machine learning algorithms based on data ingested to knowledge graphs Knowledge of building analytics applications on top of a semantic foundation. Hands-on experience with graph analytics (e.g., graph neural networks, embeddings) Experience in deep learning, data mining, and data analytics. Application of real-world/domain knowledge in these areas is a plus. Successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs About Us Siemens Technology employees are passionate about applied research. We create technology with purpose that benefits society - more agile and productive factories, more intelligent and efficient buildings and grids, more reliable and sustainable transportation. Our work powers Siemens products and is regularly featured in patents and publications. We operate in a global ecosystem focused on innovation, partnering with our customers, businesses, government agencies, and leading academic institutions on highly visible projects where collaboration is key. Our people continuously develop their talents, are curious, and are not afraid to take risks in pursuit of technological innovation. A strong learning culture empowers employees at Siemens Technology to own their growth and development. We know that diversity fuels innovation and drives business success. We are committed to creating an inclusive environment, where diversity of thought, culture, and experience is seen as our greatest strength. This is what brings our best ideas to life. We take pride in bringing our best selves to work every day, prioritizing individual health, work-life blend, and flexibility. At Siemens Technology, the success of our employees drives our success. Organization: Technology Company: Siemens Corporation Experience Level: Student (Not Yet Graduated) Job Type: Full-Time temporary Equal Employment Opportunity Statement Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected under Federal law from discrimination. To learn more, Click here. Pay Transparency Non-Discrimination Provision Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here.