#海外工作#Adobe美国公司热聘:实习生图形研究员Hadoop平台工程师架构师机器学习研究科学家
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1、Adobe各个职位平均年薪范围55,426 美元/年(Customer Service Representative)~ 172,929美元/年(Data Scientist),并为员工提供涵盖全家的健康医疗保险、带薪假期、财富管理、退休计划、教育经费、运动经费、通勤补助、宠物保险等
2、Adobe是数字媒体和数字营销解决方案的全球领导者。Adobe无处不在,他们正在通过数字体验改变世界。
职位:
Undergrad Research Intern
Graphics Researcher
Hadoop Platform Engineer
Learning Architect
Machine Learning Applied Research Scientist
地点:USA
性质:Fulltime
公司:Adobe
发布:May. 30 2018
(Picture From Adobe)
【NOTE】
招聘需求
1
Adobe Research is offering research and engineering internships this spring, summer, and fall in Cambridge MA, Seattle, San Francisco, and San Jose. We are looking for BS students who are excited about pushing the state of the art in audio, graphics, vision, human-computer interaction, machine learning, visualization, analytics, optimization, and more -- in ways that could be of interest to Adobe as well as to the research community at large. We have just started recruiting, and we would love to hear from you!
You will directly collaborate with one or more researchers or engineers, with access to world-class product groups and design teams. We regularly publish in leading journals and conferences, explore opportunities to invent new products, and create amazing features for our established creative tools -- allowing you to see your work in the hands of millions. We compensate interns well, and strive to create an environment that is both productive and fun.
Our Cambridge lab is located in Kendall Square, neighboring the MIT campus and steps away from the Red Line "T" with easy access to Boston. The Seattle lab is located in the hip Fremont area, directly on the water (you can kayak to work!) and connected by a bike path to UW. The San Francisco lab is located in the trendy SOMA area, near the ballpark and a short walk from the Caltrain station. The San Jose labs are in the heart of Silicon Valley, with a diverse array of culture and a short walk from the Caltrain station.
(Picture From Adobe)
2
Graphics Researcher
This is an exciting opportunity for a talented individual to both imagine and create the image editing and graphics design tools of the future. In particular, we are interesting in prototyping novel experiences that accelerate the creative design by leveraging any number of the following: large 2D and 3D content image and model collections, state-of-the-art techniques in procedural and geometric modeling, machine learning and inference, modern imaging and input devices (e.g. rgbd cameras, styluses, multi-touch, sensors), connected collaborative devices, and last but not least emerging display hardware (e.g. VR). While deep technical experience in all of the above areas is not mandatory, we expect the candidate to have a strong eye towards assimilating the very best technologies in novel ways to optimize the end user’s creative experience as well as productivity.
We are looking for self-motivated creative individuals that are interested in functioning both as an inventor of new ideas as well as an advanced developer of those ideas. The primary focus of the job is to create relevant technologies that can have significant impact on Adobe. The success of the role is largely measured on the impact of transferred technologies to shipping products and features. Our lab both encourages publication of research ideas as well as supports collaborative research efforts with academic institutions. Our strong internship program provides a continual influx of new ideas, making our lab an exciting place for technical growth. This position provides the opportunity to work directly with Adobe’s world class product teams allowing innovation to reach the hands of real world artists and designers.
Responsibilities
Contribute to design of novel algorithms for image editing or 2D and 3D authoring, with special focus on algorithms easy to understand by the current Adobe users. These may include algorithms related to understanding 3D content in images, scanning of objects, object retrieval, model manipulation, personalization, creating parametric models and 3D modeling for semi-professionals and consumers.
Consult and assist with other research projects in graphics and vision.
Market algorithms and ideas to the product teams and facilitate the adoption of the new designs, tools, and interfaces into Adobe’s products.
Requirements
PhD. or Masters with equivalent work experience in the area of HCI, 2D design, or 3D geometry processing or geometric modeling.
A strong personal research agenda is desired. This should include peer-reviewed publications in the area.
A desire to turn research ideas into shippable production ready code.
Experience with several of the following areas: advanced image editing and manipulation, creating 2D or 3D design tools, scanning of objects, object retrieval, model manipulation, personalization, creating parametric models and 3D modeling for semi-professionals and consumers.
Strong C++ development skills.
Strong verbal and written communication skills.
Desirable background and experience
Experience developing software for mobile or tablet devices (ios and/or android OS) is a plus.
Basic understanding of machine learning and image processing.
(Picture From Adobe)
3
Hadoop Platform Engineer
Data has become a strategic asset of the organization fueling all aspects of business decision making. Real-time personalized customer experiences are driving the future of Adobe's business.
This position will be a key role within the DAP – Data Architecture and Platform team to provide the data and insight needed to realize business objectives. We are seeking a solid contributor who will provide the support in data modeling, data engineering and building data assets and applications. May provide technical direction and system architecture advice for individual initiatives.
Requirements:
BS technical degree required
Exceptional communication, documentation and presentation skills along with the ability to stay current with the latest information management tools and technologies.
Demonstrable experience developing and contributing to distributed compute frameworks: Hadoop, Spark
Experience and insight into designing, implementing and supporting highly scalable infrastructure services
Experience in administering highly available Hadoop clusters using the Cloudera Hadoop distribution.
Experience in stream data processing and real-time analytics
Extensive knowledge of Linux Administration and Engineering.
Hadoop, Spark, Storm, Cassandra, Kafka, ZooKeeper and Big Data technologies
In-depth knowledge of capacity planning, management, and troubleshooting for HDFS, YARN/MapReduce, and HBase.
Must have experience with monitoring tools used in the Hadoop ecosystem: Nagios, Cloudera Manager, Ambari
Sound knowledge of UNIX and shell scripting
Strong attention to detail and excellent analytical capabilities
Strong background in Systems-level Java essential - garbage collection internals, Concurrency models, Native & Async IO, Off-heap memory management, etc.
Cloudera Certified Administrator for Apache Hadoop (CCAH) a plus
Understanding of core CS including data structures, algorithms and concurrent programming
CentOS/Red Hat Enterprise Linux (RHEL)
Active member or contributor to open source Apache Hadoop projects a plus.
An advanced background with a higher level scripting language, such as Perl, Python, or Ruby.
(Picture From Adobe)
4
Learning Architect
You will be responsible for architecting, developing, and managing the delivery of Adobe Digital Learning Services custom engagements with large enterprise customers and prospects to drive this business performance. This will be achieved by supporting sales, building strategic relationships with customers and leveraging a network of internal stakeholders.
What you’ll do
Scope,design and propose learning engagements aligned to the customers’ business goals and organizational needs.
Employ learning strategies, including instructional design, and evaluation with appropriate technologies to develop, and delivery custom learning programs based on bespoke requirements.
Conduct skills assessments with recommended learning plans.
Engage with Strategic and Large Enterprise Customers (at C level), Adobe Professional Services Sales and Adobe Account Executives.
Establish and maintain strategic partnerships with Adobe cross-functional organizations.
Leverage subject matter expertise across learning, Adobe solutions, and industry.
Achieve billable utilization targets.
Support sales targets.
Business Travel and Physical Demands
Business travel of up to approximately 60 percent yearly is expected for this position.
Preferred Education
Bachelor's Degree or global equivalent in business or an IT related field.
Work Experience
Significant customer facing technology services experience such as business consulting and/or learning , with proven results in quota-oriented environments and/or previous inside or outside sales experience. Account management experience and relevant experience in Learning/Education sales or sales in the technology industry are a plus.
Skills & Competencies
Learning and business consulting skills
Superior influencing, negotiation and communication skills
Excellent organizational skills
Superior presentation and proposal development skills
A customer service mind-set
Thrive in a fast-paced, dynamic and evolving work environment
Manage the organizational matrix
Build relationships and partnerships both internally and externally
Outcome and execution focused
(Picture From Adobe)
5
Machine Learning Applied Research Scientist
Machine Learning is critical part of Adobe’s Cloud offering. Adobe Clouds enable customers to create & manage Digital content, such as assets, composites, 3D, documents etc., and Digital experience & transformations. In Creative Cloud, Creative professionals and novice users alike need to manage lifecycle of their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos, 3D and beyond. In Experience Cloud, it is all about optimizing the Digital Experience and Digital Transformations for Enterprises where digital content rules with mobile playing pivotal role, whereas in Document Cloud it is all about paperless world where offerings provide way for authoring and seamless transfer of content across users & entities. Adobe Cloud also provides the stock image marketplace, Adobe Stock, and the community, Behance, which entails deep machine learning embedding to enable content quality, search, discover, organize, contributor moderation, and more to allow for faster content velocity.
We are building new machine learning platform, called Adobe Sensei, that powers machine learning and AI across Adobe Cloud product lines by enabling the world’s best creative tools, leading cloud services for managing digital assets and digital experiences and the leading marketplace such as Adobe Stock and Adobe Behance. This platform will enable thousands of applied researchers, millions of users, and billions of content pieces. Become part of this growing team at Adobe and a phenomenal impact in the area of computer vision, user understanding, language understanding, and digital experience optimization. The objective is to make machine learning offerings a world class, leading edge, differentiating product in Adobe Cloud ecosystem. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe!
How can you participate? We’re looking for applied research scientist, from entry level to senior roles, in the area of content understanding, computer vision, deep learning, user understanding, language understanding, information retrieval, search ranking, campaign and channel optimization, advertising bid optimization, and more. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company. Join us!
Responsibilities
Work on building state of the art machine learning models leveraging data mining, big data, deep learning, content understanding, language understanding, and more by developing cutting edge machine learning algorithms for Adobe Clouds. Apply data mining and machine learning to improve content understanding, computer vision, deep learning, language understanding and content ranking & recommendations. Build machine learning offerings to enable lifecycle of billions of images, documents and other assets in Adobe Cloud. Maintain and optimize machine learning platform, identify new ideas to evolve it, develop new features and benchmark possible solutions. Build machine learning platform using technologies such as REST web services, micro-services, machine learning frameworks, Caffe, Tensorflow, R-CNN, Spark, Elastic, AWS, Kafka, Deep Learning, and more.
What you need to succeed
PhD in Computer Science
Industry experience is preferable
Experience in machine learning technologies, especially in content understanding
Experience with some machine learning frameworks – Scikit, MLPack, TF, SparkMLib, Caffe, …
Hands on experience with Java, Python, and/or C++.
Experience in building, validating and evaluating of machine learning model
Experience in building feature selection for machine learning
Experience in building distributed systems
Knowledge of Spark, big data processing, Hadoop.
Knowledge of Matlab, R and other tools.
Knowledge of Docker, Containerization, AWS.
Knowledge of Web services, micro-services, and REST.
Knowledge of RDBMS & NOSQL database.
(Picture From Adobe)
Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.
How To Apply:
If you are interested, please contact us.
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