28 Machine Learning jobs

Senior Machine Learning / NLP Engineer Job ID# 174 Working for our client global AI invention and solution specialists based across the UK & Switzerland we’re looking for Senior Machine Learning / NLP Engineering specialists that want to be involved in developing cutting-edge AI solutions for global brands. Key responsibilities would include: Perform commercially focused research making Machine Learning more applicable to physical scientific invention and human activity. Determine scope of problems, evaluate with the team different solutions and then the onward development of the best one. Incorporate new fundamental research ideas into development, extending state-of-the-art where needed to meet the technology and product objectives. In an ideal world your background should be one that: Incorporates a proven, demonstrated and expansive knowledge of NLP and machine learning. Competent in relevant programming languages such as Python, C++ and/or Java. Excellent knowledge of algorithm design. Any expertise in Deep earning, Graph Theory, Data Mining and/or automated knowledge extraction will be an advantage. If you’d be interested in hearing more please apply today: Richard Jackson Richard@oxygendigital.net 00 44 (0) 203 500 1436

Scientific Developer in NLP and machine learning Within the framework of an innovative research project in web mining and machine learning with an international startup, the collaborator will be in charge of the computer development of web mining services using state of the art tools in information retrieval (IR), automatic natural language processing (NLP) and machine learning (ML). In a dynamic academic environment, we offer you a position allowing you to : Develop skills in all activities related to research and/or service delivery; Enrich your curriculum vitae with publications; Show autonomy and initiative in a varied activity; Profile/Skills : Holder of a Bachelor's or Master's degree in computer science or an equivalent title; Flexibility, autonomy and organisational skills; Experience in word embedding and web mining is an asset; Experience in DevOps and in particular, Git, continuous integration tests and agile methods are recommended; Mastery of languages such as Python; Knowledge of big data technologies is an asset; Good oral and written English skills. This work is at least 9 months located in Geneva Switzerland at the beginning at HEG University of Applied Science. After this period there will be opportunities to continue with HEG as a researcher or with our partner company b2b research (specialised in market research) in London. Geneva is also good for chocolate, ski and mountain, I hope to see you soon Arnaud Gaudinat, Professor in Information Science

The startup envisions a holistic way of providing an expense management service to SME’s. Dealing with business expenses in-house is a tedious and costly process. That's why we're building a business expense management service. We don't just transform a process from analog to digital. We aim to automate the complete process with machine learning and artificial intelligence. That's where you come in. Your responsibilities: Your job is to come up and put in place ways to cut the human out of the expense management process. Each step in the process is unique and might need a different approach to automate Tasks In-depth knowledge and experience in AI/ML; data classification, data reconciliation, data extraction and pattern recognition. Ability to work independently Basic knowledge in accounting is a plus Fluent in English (Swiss-)German is a plus Requirements esponsibility to leave your imprint: Big scope of action within your area Room for new ideas and personal growth International work environment Flexible work organization Part-time work (starting from 40%) Startup spirit: Flat hierarchies, open communication A highly skilled and motivated team f you enjoy automating processes and working in a startup is your thing then please send us your CV and cover letter

Ihre Aufgabe Entwicklung von Softwareapplikationen und Qualitätsprüfverfahren basierend auf neuronalen Netzen (Vision, Sensordaten) Umsetzung von neusten Konzepten aus dem Bereich Deep Learning in Industrie- und Forschungsprojekten Arbeiten in ESA/Space Projekten Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden Mitgestaltung der internen Forschungsroadmap Mitwirkung in interdisziplinären Projekten Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene. Ihr Profil Sie verfügen über einen Master oder PhD in Informatik, Neuroinformatik oder Maschinenbau (Fokus Machine Learning, Vision, Robotik) Sie haben Fachwissen in einem oder mehreren der folgenden Bereiche: Predictive Maintenance mit Machine Learning RNN, CNN, GAN Bildverarbeitung 2D/3D Machine/Process Health Monitoring Augmented (Mixed) Reality Parallelcomputing mit CUDA Hardwarenahe Systementwicklung Sie kennen eine oder mehrere der folgenden Programmiersprachen: Python, TensorFlow, C#, OpenCV, CUDA Sie arbeiten strukturiert und haben eine analytische Vorgehensweise Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil. Wir bieten Das CSEM bietet ein anregendes und multidisziplinäres Arbeitsumfeld mit der Gelegenheit, mit nationalen und internationalen Unternehmen zu arbeiten. Neben ausgezeichneten Sozialleistungen bieten wir Ihnen die Gelegenheit, Ihre Fähigkeiten in einem hochtechnologischen, multikulturellen Unternehmen mit einer mitarbeiterorientierten Kultur weiterzuentwickeln. Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen

Our team is building the platform Squirro, a Unstructured Data Discovery and Analysis platform. We combine our unique Smart Filter technology with a very easy-to-use interface so that you can easily and quickly unearth gold in your landfills of digital data. Responsibilities Bring machine learning, collaborative filtering, NLP, and deep learning methods to our core Squirro platform Prototype new algorithms, evaluate with experiments, and later productise solutions Develop new IP to further expand Squirro’s USPs Work hands on with our team of backend engineering team while collaborating closely with our customer success and product teams Provide consulting for customer specific applications of Squirro with respect to solutions based on machine learning when needed. Required Qualifications Ph.D. or M.Sc. in Machine Learning, or related field preferred You have experience implementing machine learning systems at scale in Java, Scala, Python or similar (not just R or Matlab) You have a strong mathematical background in statistics and machine learning You care about agile software processes, data-driven development, reliability, and responsible experimentation You preferably have experience with data processing and storage frameworks like Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc. You preferably have machine learning publications or work on open source to share with us Good communication skills with fluency in English Preferred Qualifications and Experience Experience with information retrieval technologies (Elasticsearch, Lucene) Work permit in Switzerland, which is given for citizens of EU and EFTA member states or work permit in the UK About the team Squirro is a Swiss startup. We are a team of passionate Internet geeks and entrepreneurs and one of the most experienced startup teams around. We love Python and ElasticSearch on the server side and JavaScript with Backbone.js on the client side. We work with Git, believe in testing, code reviews, continuous integration and continuous deployment. Our work is structured with Scrum. Our compensations package includes shares in the company because we believe our employees are our biggest asset. Our headquarter is in located in Zurich, Switzerland.

Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Tasks Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies Assess quality controls around different approaches as well as suggesting new approaches in research Design processing pipelines for terabytes of price data Requirements 5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field Excellent programming skills in Python and Scala In-depth experience with Spark (more than black-box usage) Excellent skills in quantitative analysis, programming, and statistical modeling Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics Experience in financial markets or exposure to trading is an advantage Benefits We apply the newest technologies and strategies in order to gain advantage over our competitors. We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning. Attractive office locations in the center of Switzerland in Zug and Zurich. The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business. A compensation and bonus scheme that’s unprecedented in the industry. Please apply via our careers site. We look forward to getting to know you!

A permanent contract with the leader in innovation and high-tech engineering consulting A multi-stage model with career opportunities through specialization prospects, as well as with over 50'000 consultants around the world and revenue of EUR. 3.3 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D). In Switzerland, Altran employs more than 300 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva. Your role Design Machine Learning Systems and develop machine learning applications according to requirements Collaborate with product owners, data scientists and engineering teams to evaluate the effectiveness of the deployed ML systems Contribute in research, design, experimentation, development, deployment, monitoring and maintenance of ML model lifecycle Research and implement appropriate ML algorithms and tools Perform statistical analysis and fine-tuning using test results Process, clean, and verify the quality of data used for analysis Develop and implement best practices to enhance existing machine learning infrastructure Your profile Bachelor or Master Degree in IT, Computer Science, Mathematics or another related field 3+ years of relevant experience in machine learning or related role, preferably in the pharmaceutical or medical device industry Good knowledge of programming languages (eg. Python, R, Java, C++) Prior experience with SQL and NoSQL (e.g. document stores) databases Experience with cloud services Ability to clean and visualize data easily Understanding of Signal Processing Techniques and ability to solve problems Creative and critical thinking Fluent in English and/or German

The Position As a Data and Backup Manager, you will inspect incoming data, manage data flow, assign ownership, ensuring quality and proper backups & recovery. The position offers a high level of interactivity and responsibility in an established, growing company, and the opportunity to work as part of a strong international service team. This full-time position is located at our headquarter office in Basel, Switzerland. Key Responsibilities Data management Classification of data, e.g. customer, finance, public, etc. Inspecting incoming (customer) data; align & assign to BU Create and maintain data inventory – which data is where, who is the owner, why and for how long Maintain data SOP Ensure quality of data Data overview incl. access rights Backup management incl. disaster recovery Managing backups of Clients, Server, Storage, VMs, etc. incl. disaster recovery (File-level backups, VM snapshot backups) Monitor and troubleshoot backups and restores, check logs for errors and make corrections to improve efficiency Backup policy configuration Capacity planning Perform restore tests Maintain disaster recovery procedures Managing disk storage requirements incl. analysis and overview Your Profile Basic knowledge of different operating systems including Windows and Linux, and the ability to understand, setup, configure and maintain various backup concepts and recovery components on those operating systems Experience in the use of Windows and Linux software install and configurations Scripting proficiency in Bash, Python ITIL certification Knowledge of networking protocols used between operating systems Knowledge of backup software and backup procedures incl preparation of reports Capacity planning for backup appliances and storage devices Strong written and verbal communication skills Strong problem solving skills Fluent English The Company Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore. Are You Interested? If you are interested in this position, please submit us your CV and motivation letter. Genedata is an Equal Opportunity Employer. Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond.

As Business Analyst for iPension ( www.ipension.ch ), you’ll be responsible for the following activities: You’ll identify, analyze and document business requirements on customer-site in the domain of the Swiss pension system (3 pillars) You’ll solve our customer’s problems through structured procedures, identify the project risks and communicate effectively the suggestions You’ll work closely with our technical specialists of iPension during the solution’s design, realization and implementation phase You’ll be involved in application’s usability engineering You’ll create operational test procedures and test cases You’ll will participate to fit/gap analysis mandate and integration project of iPension Suite You’ll support the project manager in the backlog management and in the monitoring of the Business analysis activities performance Typically, your field of activity is at the interface between business and IT or suppliers. Your will be part of a multi-site global team, where coordination and communication will be key. What we offer A pleasant working environment in an experienced, motivated and uncomplicated team An organization with flat hierarchies and collaborations across business departments An attractive prospect for your professional and personal development A healthy work life balance About your profile We are looking for a candidate with an academic degree, who is able to work independently and structured You have excellent communication skills (spoken and written) in French, and English You gained at least 4 years’ professional experience in a similar position (ideally at a service provider) and you feel comfortable working in interdisciplinary, multinational teams You have a background between 1 and 2 years of experience in IT projects You are an entrepreneurial thinker and you are motivated to accompany innovative IT solutions from idea to successful implementation We would also like to support you in developing your skills in these areas

Summary Posted:   Dec 16, 2019 Role Number: 200134046 As an engineer in the Special Projects Group, you will be part of a team building infrastructure and tools for exciting new technologies that will shape the future. You will work in a startup-like environment where products are still being defined and developed, giving you the chance to influence some of the core tools used by the project. You will be part of every stage of development from concept to deployment. We are looking for an engineer to architect, build and scale a robust ecosystem for data processing and compute services. Specifically you will develop solutions that will orchestrate and support the seamless transitioning of petabytes of data through different stages like ingestion, indexing/mining, transformation, machine learning and algorithm validation. You’ll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We will research and develop innovative ML strategies for challenging problems that will affect future Apple products. We hope you’re passionate about the values that drive us.Key Qualifications You have hands-on experience in building distributed systems, including real-time streaming and batch data processing You are proficient in multiple programming languages relevant for such systems (e.g. Python, Java, C++, Go) You know what it takes to deploy and operate high availability production systems in the cloud You have experience designing service-oriented architectures and using various data stores technologies (blob, NoSQL, and relational) You have experience with cloud computing platform like AWS, GCP and Azure Description Develop and scale a data processing platform using the latest open-source technologies Develop an ETL plugin system that will enable researchers and other developers to submit and run data processing jobs in the cloud easily Define a consistent continuous integration/deployment model that will encourage multi-functional development teams to self-service application unit testing, deployment and operations Influence and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies Experience with full stack application development Experience with Machine Learning / Artificial Intelligence research and development projectsEducation & ExperienceBS OR MS CS/CE/EE (OR EQUIVALENT)

As part of the Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. This is an opportunity to join a new team in Apple AI/ML that is investigating novel visual capabilities of Siri across all Apple product that will transform the way people engage with the world around them! We’re looking for strong engineers to work on ground breaking technology, collaborate with experts across Apple, and deliver new end-to-end experiences that delight customers.Key Qualifications Excellent knowledge and good practical skills in ML based perception algorithms Skilled in deep learning for image / video understanding, object detection, semantic segmentation Able to develop and implement high-quality computer vision algorithms Strong interpersonal skills; able to work independently as well as in a team Excellent software design, problem solving and debugging skills Proficiency in Python and another language (C/C++, Go, Swift, Rust) Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…) DescriptionAs a machine learning engineer you are excited to solve high impact problems using deep learning and large data sets. You will stay up to date with the latest research in detection, segmentation and metric learning and work with a team of highly qualified computer vision and machine learning specialists to develop innovative computer vision/machine learning systems in the area of visual search. You'll be involved in all phases of model development including data analysis, prototyping, testing, deployment. Based in Zurich, we work closely with teams across Apple worldwide. We are looking for passionate Applied ML Engineers to join our Agile development teams. You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a hardworking collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment. If this is you, we'd love to hear from you.Education & ExperienceMS or PhD in computer vision, machine learning, computer science or equivalent industry experience.

Apple is looking for world-class qualified ML/Deep Learning engineers to develop and integrate machine learning technologies within our Special Projects Team, focusing on autonomous technologies in a robotics environment.Key Qualifications In-depth expertise in deep learning (DL), statistical machine learning (ML), and reinforcement learning (RL) Familiar with current DL literature and the math of machine learning: optimization methods, common types of models and layers, etc. Understanding of modern machine learning concepts and state of the art deep learning frameworks Ability to train and debug deep learning systems: Define metrics and datasets, performing error analysis, training models in a modern DL framework Experience with hardware specific optimization of ML models and deployment Excellent programming skills in Python and C/C++ Strong publication record demonstrating innovative research Passionate about building extraordinary products Creative, collaborative, and product focused Excellent communication skills — you collaborate effectively with other teams and communicate clearly about your work DescriptionAs a member of the team, you will work on a hardware/software product enabled by the ML technologies you build. Our team pursues research & development in the areas of machine learning (ML) with a particular focus on deep learning (DL), optimization, and reinforcement learning (RL). You will work on one of the most challenging technical problems of today, and develop new ML solutions that will impact and enable future Apple products. You’ll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. You will research and develop innovative ML strategies for challenging problems that will affect future Apple products. We hope you’re passionate about the values that drive us: - Passion for the mission: We’re here to make something great. We tackle whatever work is right for the product and strive for the best possible results. - Humility: The right answer is more important than being right. We search for solutions as a team and value clear-eyed feedback. - Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make great decisions.Education & ExperiencePhD or Masters degree in Machine Learning, Robotics, Statistics, Computer Science, or equivalent professional experience. If this is you, we'd love to hear from you.

The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, services, and education and training at the local, national and international level. About 850 people from more than 80 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. Post-doctoral Fellow in Machine Learning and Artificial Intelligence (100%) We are looking for a Postdoctoral Fellow to support a new project aiming at improving early childhood development through an interactive mobile-phone based system. This project will be jointly implemented between three entities, the DS3Lab @ETH Zurich, the Swiss Tropical and Public Health Institute, and Afinidata. The DS3Lab is based within the Department of Computer Science and led by Dr. Ce Zhang, whose current research focuses on building data systems to support machine learning and help facilitate other sciences. Afinidata is a new startup based in Guatemala and the United States, focusing on developing intelligent solutions to support early childhood development globally. Your responsibilities The post-doctoral research fellow will work with local and international partners on a multi-year study testing a new Afinidata platform to support early childhood development in Peru. The goal of this postdoctoral position will be to help further develop the existing platform through the development and application of machine learning algorithms, with a particular focus on language processing and system-user interactions. The postdoc will be based at the ETH in Zürich, but is expected to meet up with the project teams in Basel, the US and Peru on a regular basis. Experience and skill requirements This is a highly competitive position. To best fit our team we expect the following qualifications: PhD in computer science or a related field from a leading research university Demonstrated interest in, and experience with, machine learning and artificial intelligence Ability to understand, implement and debug machine learning models. Must have the mathematical and computational background to understand and efficiently implement models that best approach a particular situation. Ability to perform the necessary SQL queries for your models or analyses. Proficiency in python and its standard tools for data science (pandas, numpy, scikit-learn, matplotlib, Jupyter notebooks, etc.) and an ability to learn additional libraries. Good communication skills, strong team spirit and ability to work with professionals in a multi-cultural context Ability to work independently and as part of a team on research programmes Excellent command of English (speaking and writing) is a must. Given that the project will be implemented in Peru, basic knowledge of Spanish will also be necessary. Demonstrated ability to publish in peer-reviewed journals Prior knowledge on documenting and testing code for machine learning models, continuous integration, and scrum agile desirable but not required Please submit your application online via the link provided below. We look forward to receiving your online application with: CV Motivation letter PhD course transcripts including grades Writing sample (published or unpublished manuscript) Names and contact information (email or phone) of 3 references. Please note that we can only accept applications via our online recruiting tool:   https://recruitingapp-2698.umantis.com/Jobs/All . Only complete applications will be considered. Applications via e-mail or external recruiter will not be considered. The deadline for applications is April 15th 2020. Job Profile Start of employment:   June 2020 (with some flexibility) Location : Zurich (ETH), Switzerland and Basel (Swiss TPH) Duration : initial period of two years, but can be renewed if there is mutual interest Percentage : 100% Travel required:   yes, to the US and Peru on a regular base Contact For further information about the position, please visit our website https://www.swisstph.ch/en/ .

Summary Posted:   Apr 16, 2019 Role Number: 200053628 We are continuously advancing the state of the art in computer vision and machine learning. At Apple, we have a healthy mix of research and focus on delivering only the best products. We are looking for an applied researcher and engineer to work on the next generation of Apple features to transform how people communicate. You will be working in a diverse, fast moving team based in Zurich, Switzerland, and will interact regularly with teams based in Cupertino, USA.Key Qualifications In depth understanding of Machine Learning principles A scientific mindset and approach to problem solving Excellent programming skills in Python Excellent communication and teamwork skills Good understanding of 2D and 3D computer graphics and vision Experience in working on larger scale projects with good software development principles Willingness to pick up novel tasks and acquire novel skills Fluency in English is required Description The candidate will be working on next generation video and image analysis projects in our computer vision research and development team in Zurich, combining modern machine learning approaches with geometric knowledge from computer vision. Our work is focused on real-time performance and finds its way into the whole range of future Apple products. We are improving existing technology as well as developing completely new approaches to enhance the way we interact with devices. Because we integrate tightly with the hardware platform and even influence its design we are able to create products that are extremely fast, power efficient, and accurate. Education & Experience PhD or Masters in computer science, computer vision, computer graphics, machine learning, or equivalent.Additional Requirements Experience in the industry is a plus

What You'll Do You are responsible for architecting, developing, scaling and maintaining our data and machine learning infrastructure, covering a large set of technologies, with a specific focus on high availability, scalability and security of our customer data. You will also architect, build, and deploy new data pipelines and machine learning models, as well as systems and tools to enable our team to understand and consume data faster. You thrive in dynamic environments that require a rare blend of innovation and speed of execution. You are an enthusiastic machine learning engineer and you pride yourself on your communication and interpersonal skills, a keen eye for beautiful code, and an ability to autonomously plan and organize your work assignments based on the objectives of the team. Who You'll Work With Our team is made of engineers with a very diverse skillset united by their passion for innovation and the excitement of turning wildly disruptive ideas into products that impact the industry at large. We are building Cisco’s next-generation technological innovation by combining machine learning and distributed software with networking technologies. We love designing and implementing large-scale machine learning pipelines. Our technology stack includes Python, Scala, Go as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, PostgreSQL and the Hadoop ecosystem. Who You Are Agile, pragmatic and hardworking. You also love to interact with data scientists, machine learning engineers and software engineers in order to develop pipelines that scale seamlessly at huge amount of data. You love technology, innovation and building products at scale. You hold a PhD or M.Sc. in computer science or a related field and you can demonstrate a consistent track record in the following areas: 5 years of Python development experience is required. Apache Spark, Java, Scala and Go are an undeniable plus. Hands-on experience in managing, scaling and improving distributed data processing platforms (Apache Spark, Hadoop, etc.). 5-10 years of experience building and developing data-intensive systems at industrial scale. Dimensional data modeling and schema design for both SQL and NoSQL databases. Excellent English spoken and written skills (C1 level for Europe) is required. Why Cisco At Cisco, each person brings their unique talents to work as a team and make a difference. Yes, our technology changes the way the world works, lives, plays and learns, but our edge comes from our people. We connect everything – people, process, data and things – and we use those connections to change our world for the better. We innovate everywhere - From launching a new era of networking that adapts, learns and protects, to building Cisco Services that accelerate businesses and business results. Our technology powers entertainment, retail, healthcare, education and more – from Smart Cities to your everyday devices. We benefit everyone - We do all of this while striving for a culture that empowers every person to be the difference, at work and in our communities. Colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Be you, with us! #WeAreCisco Please note this posting is to advertise potential job opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.