The System Security team has multiple spring/summer internship openings in the areas of security with the focuses on advanced persistent threats (APT), Internet of Things (IoT) security, critical infrastructure security (e.g., ICS, SCADA systems), web application security, and automotive system security. We are solving real world problems and building research prototypes to defend against cyber-attacks in hot research areas. If you have interest or have been working on these areas, please apply for our internships! The internship typically produces high quality publications, patents, and the implementation of a research prototype. Our previous intern works have been incorporated into NEC product prototypes and resulted in publications in top conferences such as USENIX Security, ACM CCS, NDSS, ACM SIGMETRICS, CIKM and VLDB etc.

Candidates should be pursuing a PhD or be engaged in active research and have strong system design and building skills. We have multiple intern positions that cover a diverse set of research directions. Previous hands-on experience on any of the following topics is a plus:

• Familiar with threat hunting and attack forensics, especially on system provenance graphs
• Familiar with threat intelligence and its applications
• Familiar with vulnerability analysis, log analysis, and network traffic analysis in the security context
• Experiences with real-world penetration testing and tools, such as Metasploit
• Security knowledge in areas of 5G, IoT, automotive, web security, critical infrastructure
• Natural language processing techniques in security applications
• Machine learning and AI (especially deep neural networks)
• Strong system building skills

NEC Laboratories America is located in Princeton, NJ, home of the Princeton University and one of New Jersey's most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean.

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3342481.

Equal Opportunity Employer

The Data Science team (http://www.nec-labs.com/research-departments/data-science-systems-research/data-science-systems-research-home) aims to build novel big data solutions and service platforms that simplify complex computer systems management, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and systems research, such as: time series mining, graph mining, deep learning, text mining, anomaly detection, signal processing, cloud computing, data centers, software-defined networking and streaming processing. The goal of our research is to fully understand the dynamics of big data from complex systems, retrieve patterns to profile them and build innovative solutions to help end user managing those systems.  We have built a number of analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

Currently, the group has multiple summer intern positions available for graduate students. We are seeking self-motivated graduate students in the area of artificial intelligence, machine learning and data mining. Candidates are expected to conduct research with massive data from physical and IT systems and build applications to solve real and complex problems. He/she must be enrolled in a PhD program in CS/CE with strong publication records on the following topics:

• Machine learning and AI (especially deep neural networks)
• Data mining and statistical learning
• Time series analysis and prediction
• Text mining, neutral language processing and information retrieval
• Graph and information network mining
• Large scale optimization and reinforcement learning

NEC Laboratories America is located in Princeton, NJ, home of the Princeton University and one of New Jersey's most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean.

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3342469.

Equal Opportunity Employer

The Optical Networking and Sensing department invites applications for summer 2021 internships. We are seeking individuals with background in machine learning, deep learning, computer vision, and/or statistical signal processing to work on developing innovate algorithms and solutions for intelligent sensing problems. The successful candidate will have an opportunity to research and develop innovative tools to extract useful information from large-scale data generated by our own distributed optical fiber sensing system and make a practical impact on our future products and solutions for safety & security, smart city, infrastructure health monitoring, etc.

Ongoing projects include anomaly detection, object detection, localization and tracking, video/audio data fusion, signal enhancement, domain adaptation, data augmentation, predictive modeling, and source localization.

This internship has a minimum 12-week duration.

Requirements:

• Currently enrolled in PhD/MSc program in electrical engineering, computer science, statistics, applied mathematics, or equivalent
• Expertise in one of more of the following areas: deep learning, computer vision, acoustics, array signal processing, real-time processing, time-series analysis, and/or statistical modeling
• Excellent programming skills in Python or MATLAB, experience with deep learning frameworks (Pytorch, Tensorflow) is a plus
• Publication record in top conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, IJCAI, AAAI, and ICASSP) is a plus
• Good presentation and collaboration skills

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3341079.

Equal Opportunity Employer

Research Intern – Media Analytics

The Media Analytics Department in San Jose, California, is offering research internships in computer vision for summer 2021. If you are interested in 3D scene understanding, representation learning, privacy and fairness in computer vision, then an internship at NEC Labs is ideal for you. Our interns published 10 papers in CVPR 2020 and ECCV 2020, on topics ranging across 3D reconstruction, segmentation, action recognition, domain adaptation, privacy and multimodal future prediction.

To check out our latest work, please visit: https://www.nec-labs.com/media-analytics/

If you are as thrilled as us about the rapid advance of computer vision, join us for a fun-filled summer 2021!

Requirements:

• PhD student in Computer Science (or equivalent)
• Strong research background in computer vision or machine learning
• Experience with one or more major deep learning frameworks

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3339281.

Equal Opportunity Employer

The Machine Learning Department of NEC Labs America invites applications for summer and fall 2021 internships.  We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video analysis, natural language processing, big data analytics, bioinformatics, and health care. Our internships normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible.

The Machine Learning group (located at Princeton, NJ) conducts research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in computer vision, semantic comprehension, and bioinformatics. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis.

Ongoing projects focus on text understanding, machine reasoning, deep generative models, robust representation learning, few-shot/zero-shot learning, interpretable models, data visualization, deep learning systems, and deep reinforcement learning, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology. Application projects emphasize technologies that solve real world problems, and many of our research results have been and will be transferred into industry products.

Requirements:

• Currently enrolled in PhD/MSc program in computer science, statistics, electrical engineering, computational biology, or equivalent.
• Research experience in machine learning.
• Strong computational background.
• Strong programming and scripting skills.
• Strong communication and collaboration skills.

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at:  https://www.appone.com/MainInfoReq.asp?R_ID=3316386.

Equal Opportunity Employer

• Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
• Back test and implement trading models and signals in an active, live trading environment
• Use unconventional data sources to drive innovation
• Conduct research and statistical analysis to build and refine monetization systems for trading signals

• Advanced training in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field (Bachelors, Masters, PhD degree)
• Strong knowledge of probability and statistics (e.g. machine learning, time-series analysis, pattern recognition, NLP)
• Background working in a data driven research environment
• Experience with NoSQL databases (e.g. MongoDB), distributed computing (e.g. MapReduce), and analytical packages (e.g. R, Matlab)
• Independent research experience
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communications skills

Arrow Electronics, Inc is a Fortune 109 company that helps the world’s best technology companies think Five Years Out and work together to innovate the next big thing. We are a global provider of technology products, services and solutions, with 2019 sales of $30 billion. As a Machine Learning Engineer/Data Scientist, you will be working in the Digital | SAAS team, trying to discover insights from data to help drive business decisions. You will apply your expertise to solve business problems such as designing and analyzing experiments to understand customer behavior or predict market trends. You have experience designing algorithms, building machine learning models and telling a story with data. You want to be a “full-stack” data scientist, doing everything from building data pipelines and standardization processes, to developing models, to interfacing with business users to help them make sense of and believe your models. For job openings, please visit: https://www.fiveyearsout.com/.

Job Location: Cambridge, MA (Cambridge Innovation Center, can work remote)

Responsibilities:

• Develop a deep understanding of the relevant data, propose and pursue novel data sets and analyses, identify trends, and expose new business opportunities
• Report design and development in R, Tableau, Python, and web-based languages (AngularJS, etc.)
• Collaborate with senior business leaders and project managers to plan development and move prototypes to more advanced stages, up to and including production
• Participate in code, documentation, and workflow maintenance as needed
• Take part in infrastructure upkeep and maintenance
• Fulfill ad-hoc analyses and data requests for the marketing analytics team
• Technical Documentation

Minimum Requirements:

• 3-5 years of experience working in Data Science and Machine Learning/Deep Learning environments. (May include Master's/PhD level or equivalent academic experience)
• Strong technical background: an advanced degree in Engineering, Statistics, Physics, Computer Science or related field.
• Experience in working with numerical algorithms or machine learning using one or more of the following techniques: optimization, clustering, regression, classification or related techniques.
• Experience building deep learning models.
• Extensive coding/development experience and have experience with AWS, or similar cloud framework.
• Extensive in implementing mathematical and statistical techniques using tools/software such as Python (matplotlib, scikit-learn, pandas, numpy, etc.), R, MATLAB or Octave.
• Knowledge of agile scrum methods.
• You are comfortable with ambiguity.
• Able to tell a story using data and can clearly present your findings to both business and technical senior management.
• Believe in replicable analysis and research.
• Foster a culture of experimentation and innovation within Arrow.
• Love to learn.

Benefits:
At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans, and a solid benefits package.

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Competitive Paid Time Off / Holidays / Sick time
• Parental Leave (Maternity / Paternity options)
• Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
• Growth Opportunities
• Short-Term/Long-Term Disability Insurance
• Discounted T Passes, with convenient office location off Kendall Red Line
• On-site Café with Catering Option for Busy Lifestyles
• And more!

Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy)

Please send resumes to Vik Parthiban, Director, Innovation and Product Strategy, Arrow, at: Vik.Parthiban@siliconexpert.com.

Arrow Electronics, Inc is a Fortune 109 company that helps the world’s best technology companies think Five Years Out and work together to innovate the next big thing. We are a global provider of technology products, services and solutions, with 2019 sales of $30 billion. Arrow Electronics is currently seeking a Data Engineer II to work in our Digital | SAAS division.

Job Location: Cambridge, MA (Cambridge Innovation Center, can work remote)

Responsibilities:

• Understand business requirements and provide suitable design for our Big Data optimization.
• Design, implement and maintain production level data pipeline across various data sources.
• Ability to quickly prototype a solution to prove out the technical feasibility and business value.
• Scale up prototypes (ETL/ML model/services) from end-to-end using relevant technologies.
• Test and monitor to ensure product quality to live up to the business SLA.
• Diagnose, debug and fix existing workflows and applications.
• Research and learn new tools and frameworks.
• Technical documentation.

Minimum Requirements:

• Greater than 8 years of working experience and more than 4 years in relevant field. (May include Master's/PhD level or equivalent academic experience)
• Strong technical background: an advanced degree in Engineering, Statistics, Physics, Computer Science or related field.
• Extensive coding/development experience and have experience with C/C++, Python, Java or related language.
• Experience with production level machine learning applications (training/inferencing/deployment).
• Basic understanding of machine learning techniques and models.
• Must have a strong command of SQL and database background (eg. MongoDb)
• Must have good working knowledge of Unix file system and shell scripting.
• Strong communication verbal and written skill.
• Hands-on experience working with popular big data frameworks listed below, like AWS, Apache Solr and others
• Experience operating under an agile work environment.
• Experience in designing and implementing scalable RESTful APIs.

Benefits:
At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans, and a solid benefits package.

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Competitive Paid Time Off / Holidays / Sick time
• Parental Leave (Maternity / Paternity options)
• Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
• Growth Opportunities
• Short-Term/Long-Term Disability Insurance
• Discounted T Passes, with convenient office location off Kendall Red Line
• On-site Café with Catering Option for Busy Lifestyles
• And more!

Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy).

For questions, contact Vik Parthiban, Director, Innovation and Product Strategy, Arrow, at: Vik.Parthiban@siliconexpert.com.