AI Job Opportunities
Submitted January 23, 2015
Graduate Student Internships in Machine Learning, Pattern Recognition, and Complex Systems Analysis
Thanks for your interest in Conversant! Here the deal. You're not just applying to some basic technology company. Rather you're applying to a powerhouse that's changing the face of an industry! We're a new company with a 15-year heritasage. We've invested over $1 billion and united five industry leaders — Commission Junction, Dotomi, Greystripe, Mediaplex, and ValueClick Media — to launch and lead the Age of Personalization. We've done what marketers have dreamed of for years, introduced a single platform that offers all the data, technology, insights and personalization it takes to make true 1:1 communication real.
We couldn't have done any of that without our team of superstars and
a culture that celebrates each one of them. Individuals matter just as
much within our walls as they do in the 1:1 marketing programs we
create for clients. Here's what we believe in at Conversant:
Ownership — Were determined to make an impact — preferably a big one — every day.
Integrity — We treat our clients, customers and co-workers with genuine respect.
Teamwork — We believe everything worthwhile is achieved through collaboration.
Innovation — The status quo bores us. Everyone is encouraged to think differently and invent relentlessly.
About these Roles: That's right, roles. We are looking for a half dozen of the best. Our Graduate Interns will work with our Decision Sciences Team, researching and building machine learning applications to extend our personalization platform. Conversants personalization is based on analysis of anonymized data at internet scale, and is used in evaluating 1 trillion advertising opportunities per month — in real-time. As an intern you will be able to apply your machine learning knowledge to real problems with an opportunity to directly impact our business, gaining experience with internet-scale data and state-of-the-art computing clusters. Several of our team members are graduates of our intern program from previous years!
Responsibilities will include:
- Develop a basic understanding of Conversants personalization platform
- Use your machine learning expertise to research and recommend the best approaches to solving one of our technology+business problems
- Implement and validate your solution
- Work with other teams to integrate your solution into Conversant's platform
- Document and present your approach
Ideal candidates would have the following qualifications:
In a Ph.D. program in Computer Science, Electrical Engineering, Statistics, Mathematics, Linguistics, or related field
Research experience and coursework in machine learning
Fluency in programming (Scala, SQL, R, Python a plus)
Experience with Large Data Sets (Hadoop, Spark, MPP) a plus
Desire to work in a highly collaborative environment
Desire to apply your expert knowledge to grow a business
Additional specializations: We have a number of projects, for some of which we would particularly value candidates with expertise in one or more of the following areas: Computer vision, Probabilistic graphical models such as HMMs, Markov Random Fields, and Bayes Nets, Graph and network algorithms, Supervised Learning, Clustering, Mixture Modeling , Recommender Systems, User Profiling, Natural Language Processing, Information Retrieval, Multi-factor Time Series Analysis, Auction Theory, Game Theory, Real Time Bidding, Anomaly Detection
Conversant is committed to one simple but truly exciting principle: each person is different and every person matters. This mindset fuels everything we do for our clients and for each other. We do magic for our clients and we have fun doing it. If that sounds like your sort of place, wed love to hear more from you.
Salary and Terms: Dependent Upon Experience
Company Website: www.conversantmedia.com
Please Submit Resumes to:
Campus Recruiting Lead
101 N Wacker Dr. Suite 2300
Chicago Illinois 60606
Submitted January 16, 2015
Computer Vision Engineer
The Nest Technology Team is responsible for designing and delivering the intelligent features that make Nest products smart and user-friendly. This team is looking for computer vision engineers to design, implement, and evaluate cutting-edge algorithms to identify interesting features in video streams to make the smart home even smarter by learning about the behavior of users in their homes.
- Developing new algorithms for understanding events in video streams
- Developing new video analysis techniques to improve the performance of existing algorithms
- Tuning and maintaining various components of video processing algorithms
- Working on infrastructure to improve algorithm efficiency
- BA/BS degree in Electrical Engineering, Computer Engineering, Computer Science or a related field
- Fluency in at least C++, Java, or Python
- MS/Ph.D. or + Years of Work in Electrical Engineering, Computer Engineering, Computer Science or a Related Field
- 5+ years of experience in computer vision
- Strong experience in video content understanding and feature development
- Strong experience in motion analysis and tracking as well as object detection, recognition and classification
- Strong experience in machine learning for vision problems
- Experience in real time video processing
- Experience in gesture understanding and human activity recognition is a plus
Salary and Terms: Industry standard
Company Website: http://www.nest.com
Send resume and cover letter.
900 Hansen Way
Palo Alto, CA 94304 USA
Submitted November 21, 2014
FACULTY POSITIONS Electrical and Computer Engineering
NYU Abu Dhabi
New York University Abu Dhabi (NYUAD) seeks to recruit tenured/tenure-track faculty in the Electrical and Computer Engineering (ECE) programs who are distinguished in both their research and teaching. As a part of a major multi-year growth plan, the following areas are of particular interest at the present time: Robotics, Autonomous Systems, and Nano/Micro Systems.
NYUAD has close collaborations with the faculty and students of the NYU School of Engineering and has access to world-class research centers in cyber security and wireless communications, among others. Our students are drawn from around the world and surpass all traditional recruitment benchmarks.
Candidates with a strong record of interdisciplinary research and funding in emerging areas are preferred. Candidates must have a PhD degree in ECE or related disciplines and must have the ability to develop and lead high-quality research and attract external funding.
Salary and Terms: Commensurate with education and experience
University Website: nyuad.nyu.edu/en/
Review of applications will begin January 15, 2015. Candidates should
submit a cover letter, curriculum vitae, statements of teaching and
research interests, and a list of at least three referees. If the
candidate is shortlisted for further consideration, the referees will
be contacted to provide reference letters. Please visit our website
at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for
instructions and other information on how to apply. If you have any
questions, please e-mail firstname.lastname@example.org.
New York University Abu Dhabi
PO Box 129188 Saadiyat Island
Abu Dhabi United Arab Emirates
Submitted November 18, 2014
Postdoctoral Position in Computational Bioengineering
The Kavraki group at Rice University is looking to hire an enthusiastic postdoctoral research associate to enhance their research efforts in protein function prediction, systems biology, and metabolic engineering. The group is broadly interested in computational approaches to help understand the relationship between structure and function, the design of new therapeutics, and the engineering of metabolic pathways to synthesize novel compounds including pharmaceutical drugs.
Knowledge of machine learning methods and tools, as well as data analytics is a plus. Good software engineering skills are also required.
The position becomes available immediately. The duration of the position is one year and can be renewed for a second year. Compensation is commensurate with experience. Because of funding restrictions, only US citizens or permanent residents can be considered.
Qualifications and Application
The ideal candidate will have a strong enthusiasm for interdisciplinary work. Required skills include excellent analytical skills, excellent software engineering skills, programming experience, and extensive exposure to biochemistry and biophysics. A Ph.D. in a related field is required for the position. In the past successful candidates have had degrees in Computer Science, Bioengineering, Biophysics, Physics, and Chemistry. In the case of a non-engineering degree, the candidate should have strong programming skills. Excellent communication and collaboration skills are also required as the selected candidate will be expected to work closely with current lab members and with collaborators.
The Kavraki Group is a small but vibrant group and provides a stimulating working environment. Most of its alumni are now in academic or upper-level research positions. For more information about the group check http://www.kavrakilab.org. The Computer Science and Bioengineering Departments at Rice are part of the Gulf Coast Consortia for for Quantitative Biomedical Sciences and offer an unparalleled training environment
Rice University is a leading research university in the vibrant urban setting of Houston, TX, the fourth largest city in the U.S. Rice is a small, private university with exceptional strengths in engineering, biomedicine, and nanotechnology. The Computer Science Department is among the top 20 in United States, while the Bioengineering Department is ranked among the top 10 departments in United States by US News & World Report.
Salary and Terms: competitive salary + benefits
Company Website: http://kavrakilab.org
To indicate interest please send a CV to Lydia Kavraki
email@example.com). Applications will be accepted until the position
PO Box 1892
Equal Opportunity Employer
Submitted November 04, 2014
Faculty Position — Computer Science: Machine Learning and Big Data/Data Science
NYU Shanghai invites outstanding applications for two tenure-track or tenured faculty appointments in Computer Science. Applicants to the first position should have an active research program in machine learning and be dedicated to making fundamental technical contributions in this vital area. Applicants to the second position should have research interests related to big data and data science as broadly defined, including database systems, data mining, information retrieval, natural language processing, data visualization, and applications in areas such as medicine, business, and the natural and social sciences. Applicants must have demonstrated excellence in both research and teaching. When discussing their teaching experience and interests, candidates should identify courses they could teach both within and outside their specialty. Candidates must have completed a Ph.D. or equivalent by the time of appointment.
About NYU Shanghai:
NYU Shanghai is the newest degree-granting campus within the NYU Global Network University. It is the first Sino-US higher education joint venture to grant a degree that is accredited in the U.S. as well as in China. All teaching is conducted in English. A research university with liberal arts and science at its core, it resides in one of the world's great cities with a vibrant intellectual community. NYU Shanghai recruits scholars who are committed to NYU's global vision of transformative teaching and innovative research.
New York University has established itself as a Global Network University, a multi-site, organically connected network encompassing key global cities and idea capitals. There are three degree-granting campuses in New York, Shanghai, and Abu Dhabi, and complemented by eleven additional academic centers across five continents. Faculty and students circulate within the network in pursuit of common research interests and cross-cultural, interdisciplinary endeavors, both local and global.
Salary and Terms: Commensurate with education and experience
Company Website: shanghai.nyu.edu/about/work/faculty-positions
Applications are due no later than January 31, 2015 and will be
reviewed until the position is filled. To be considered, applicants
should submit a curriculum vitae, a statement of research and teaching
interests, and electronic copies of up to five recent relevant
publications. To complete the online process, applicants will be
prompted to enter the names and email addresses of at least three
referees. Each referee will be contacted to upload their reference
letter. Please visit our website at
https://shanghai.nyu.edu/about/work/faculty-positions for instructions
and other information on how to apply. If you have any questions,
1555 Century Ave, Pudong
Shanghai, China 200122
The terms of employment in NYU Shanghai are comparable to U.S. institutions and include research start-up funds, generous compensation, housing subsidies, and educational subsidies for children. Faculty may also spend time at NYU New York and other sites of the global network, engaging in both research and teaching opportunities, and have opportunities to collaborate with the many research centers and groups at NYU, including our recently launched centers for Data Science (CDS) and Urban Science and Progress (CUSP).