最新美国2019暑假Software/DATA岗位职位来袭

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1

Software Engineering Intern

Job Type: Internship Location: CA/TX/MD

Responsibilities As a Software Engineering Intern, you’ll become a key contributor where your skills and input make a big difference. In this role, you’ll design embedded software and development tools that will be used to test products. You’ll write code that tells chips how to operate in revolutionary new ways. And, you’ll work closely with business partners and customers, as well as TI’s marketing, systems and applications engineering teams, to collaborate and solve business problems.  Qualifications • Currently pursuing a degree in Electrical Engineering, Electrical and Computer Engineering, Computer Engineering, Computer Science or related field  • Minimum Cumulative 3.0/4.0 GPA  • C programming skills  • Familiarity with assembly language programming  • Knowledge of software engineering processes and the full software development lifecycle

2

Summer 2020 Business Process Technology (IT) Internship

Job Type: Internship Location: Racine, WI

Responsibilities • Code high-volume software using primarily C++ and Java • Create web applications using primarily PHP • Implement web interfaces using XHTML, CSS, and JavaScript • Build report interfaces and data feeds Qualifications •1 or more years of experience with perl, java, php, python, or c++ • Must be currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors or • Masters degree in Computer Science or a related field • Intent to return to degree-program after the completion of the internship/co-op • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications • Intent to return to degree-program after the completion of the internship/co-op • High levels of creativity and quick problem-solving capabilities

3

Software Engineer, Intern/Co-op

Job Type: Internship Location: MA/NY/DC/CA

Responsibilities • Design and implement machine and deep learning algorithms for full motion video, time series, social media, network, and text analytics • Design and development of the architecture and framework for a cloud-based analytics as a service platform to handle high volume data • Design, develop, and integrate web services to support existing production applications  • Design, enhance, and maintain existing software products perform upgrades to existing live production software applications • Support monitoring of deployed services and applications Qualifications • Eager and motivated to perform research, learn and develop new technology. •Machine/Deep Learning Libraries: TensorFlow/Keras/PyTorch, OpenCV, Matlab •Cloud, big data tools and frameworks such as Hadoop ecosystem: Kafka, Solr, Spark/Storm •Frameworks such as Grails, Spring, Jetty, Pyramid/Flask •Programming languages/platforms: Python, Java/JDK, HTML5, JavaScript, C/C++ •Database experience: MongoDB, MySQL/SQL, InfluxDB, Prometheus, Accumulo  •Configuration Management and Test Tools: Git, Maven, Gradle, Jenkins, JUnit  •Logging and Monitoring: ELK stack, Grafana, log4j •Operating Environment/Services: Linux, Windows, Android/iOS, LDAP, Kerberos

4

Data Science Consultant

Job Type: Internship Location: Remote

Responsibilities •Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner; • Execute and teach application of statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large, unstructured data sets to identify trends, figures and other relevant information; • Lead conversations with clients and other colleagues to effectively integrate and communicate analysis findings; • Evaluate emerging datasets and technologies and help define our analytic platform; • Contribute to thought leadership through research and publication; Qualifications •This is an entry-level position, a Bachelor or Master’s degree in quantitative discipline is preferred. Candidates from other areas with great skillsets are also welcome. • Understanding of statistics (e.g., Bayesian, Frequentist, etc.); extensive experience with running statistical analyses using a variety of methods to drive decisions. • Professional experience with advanced regression analysis, probabilistic modeling, and/or machine learning / predictive analytics, including the ability to use tools like Python, R, etc. • Understanding of relevant tools/platforms (e.g. database systems); • Understanding of Agile project planning and project management; • Team management and skill development experience; • Excellent oral and written communication skills; • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity.

5

Quant/Data Science

Job Type: Internship Location: New York, NY

Responsibilities • Data collection and analysis of securities (as well as crypto currencies) and investment positions. • Building pattern recognition models that identify attractive and unattractive stocks using systematic multivariate frameworks. • Perform independent validation of analytical models and frameworks, including assessment of conceptual soundness of models, proper application of statistical theories, evaluation of data and assumptions, and performing outcomes analysis (e.g. back-testing and bench marking). • Understanding of traded products, an appreciation of market risk methodologies and the underlying data challenges. Qualifications BS/MS in quantitative discipline from a top-rated university. Solid mathematical background and knowledge of finance, math, statistics, economics principles. Experience performing statistical analysis and knowledge of econometrics. Programming/computational background with working knowledge of Python/Matlab, Excel/VBA, C++, and SQL.Previous use of financial data-sets for personal investing exploration. Understanding of securities analysis(balance sheet and income statement analysis), valuation and earnings forecasting methods. Methodical, diligent, and systematic in approach to problem solving and model building. A self-starter able to research independently and also demonstrate strong interpersonal skills and work ethic. Necessary to communicate and interact within a team-oriented environment.

6

Data Engineering Intern

Job Type: Internship Location: New York, NY

Responsibilities •  Improve and extend fault-tolerant data pipelines to integrate large amounts of data from many diverse storage systems. •  Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers. •  Stay current with the latest research and technology and communicate your knowledge throughout the enterprise •  Take responsibility for preparing data for analysis and provide critical feedback on issues of data integrity Qualifications • Degree Level: BS or MS in Computer Science or other  engineering discipline • Very strong programming skills in Scala, Java or Python • Good communication and team working skills

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