Siemens Careers

Research Professional

Berkeley, California
Research & Development

English (US)

Job Description

Division: Corporate Technology
Business Unit: Corporate Technology
Requisition Number: 236503
Primary Location: United States-California-Berkeley
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Master's Degree
Travel Required: 15%

Division Description:

For nearly 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with our global network of experts, we are a strategic partner to Siemens’ operative units and provide important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. Our support provided to the businesses in their research and development activities is ideally balanced with our own future-oriented research.
We at Corporate Technology are more than employees: We are actively helping to make people’s lives a little better every day. Would you like to be a part of that? Then join us. We offer you a high level of practical relevance as well as an opportunity to individually contribute your knowledge and your visions around the world. Whether you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research together with the best.

Job Description:

The future of digitalization is in our hands. Join us and make it your job to see these ideas come to life.

Position Overview

Our talented researchers in Berkeley are constantly developing new ways to establish seamless interaction between human and machine through intuitive, multi-modal and situation-aware digital companions. Your job will be working with them to make sure ideas like these become a reality – from ideation to implementation.



Be our point of contact for our internal Siemens business unit customers and government funding agencies to ensure ideas turn into innovations.

      Develop and lead the topic of digital companions: embodiment of AI that offers suggestions on how to achieve user goals.

      Contribute to the ‘Explainable AI’ problem of linking deep semantic models with machine learning predictive capabilities.

      Employ a wide range of research methods including but not limited
to participatory design workshops, formative and summative usability studies, analytics and UX metrics, and stakeholder councils.

      Develop and lead research projects with cross-functional stakeholders including managers, product managers, and engineers, ensuring that all stakeholders participate in the research and experience customer insights.

      Develop, submit, lead government funding grant proposals.

      Be vigilant about technology trends and scientific developments in relevant areas inside and outside of the company, including attending academic and industrial conferences

      Mentor team members and research interns


Required Knowledge/Skills, Education, and Experience

      Master degree required in computer science / engineering with more than 4 years of experience, PhD preferred

      Track record of developing new ideas in machine learning and applying HCI research methods, as demonstrated by one or more major publications or projects

      AI knowledge including machine learning, and related algorithms and tools

      Development of algorithms and concepts for predictive analytics und anomaly detection, expertise in machine learning, knowledge extraction and knowledge representation.

      Experience in Python, Ruby, RDF, Bash, SQL, Gnuplot, R, SAS, SPSS, Internet- and Web-Technologies, iOS/Android, HTML5, Ajax, JavaScript, Apache

Preferred Knowledge/Skills, Education, and Experience

      Experience with government funding, e.g. post-doc at a national lab

      Exposure to industrial automation, building automation, power automation

      Interact with and influence others effectively via teamwork and diplomacy.

      Publications in major HCI/ML/IR/NLP conferences would be a plus. Example: CHI, NIPS, ICML, KDD, WWW, SIGIR, WSDM, ACL, EMNLP

      Experiences in Data Mining, Machine Learning, Stream Mining or Visual Analytics




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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, 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.

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