Artificial Intelligence (AI) Associate - Data Scientist

Penn State University

Campus/Location:
University Park Campus
Campus City:
University Park, PA
Date Announced:
08/20/2019
Date Closing:
open until filled
Job Number:
90152
Work Unit:
Outreach
Department:
Nittany AI Alliance

Description

The Nittany Artificial Intelligence (AI) Alliance at The Pennsylvania State University (PSU) is looking for a talented and highly motivated undergraduate intern to work on AI-related projects, gaining hands-on experience that enhances their learning at Penn State, while also gaining highly marketable development experience. Selected candidates will be members of a software development team and assist with the development of prototypes leveraging artificial intelligence and the design and configuration of cognitive modules within existing cognitive agents. We are looking for Data Science interns to join our team beginning Fall 2019. As a Data Science Intern, you will collaborate with the other software development team members to do meaningful work while also growing your expertise. Strong consideration will be given to candidates who can present a successful project in machine learning that demonstrates the ability to create and train end-to-end solutions combining data preparation, advanced analysis, and useful outputs. Responsibilities include working within an agile development environment with other software developers, a scrum master, and product owners to develop and deliver quality solutions. Specifically, the Data Science intern will perform the following: Research state-of-the-art algorithms in machine learning to identify viable approaches to significant unsolved challenges for Nittany AI Alliance projects; Design solution prototypes that connect data sources through the selected algorithms to a concrete use case; Develop code to implement the algorithms, and test their efficacy and efficiency against real-world data; Proficiency with a modern programming language appropriate for machine learning prototyping is beneficial; Python is required, and skill in another language such as JavaScript or R would be beneficial; Knowledge of data structures and data management methods, and the ability to analyze a problem and determine an efficient structure for the task; As development is performed within an agile/scrum environment, knowledge of continuous build integration and development operations is desired; Ability to communicate technical topics effectively to both technical and nontechnical team members and staff; Ability to read, understand, and apply technical papers and articles in research journals; A self-starter comfortable working in a team environment is a must; therefore, the ability to effectively communicate with product owners and team members and the ability to develop clear written technical documentation, are critical. Preferred experience includes with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud; specific experience with machine learning and deep learning capabilities on those platforms Experience with containerization technologies, particularly Docker and Kubernetes; Experience with machine learning frameworks and libraries, such as TensorFlow, Infer.net, or Caffe; Proficiency in the underlying mathematics of deep learning, particularly linear algebra and multivariate calculus. This is a part-time position working 15-20 hours per week at $15.00 per hour from ASAP after start of the PSU Fall semester through December 2019. Possibility for internship to extend into Spring semester based on Nittany AI Alliance workload and availability of the candidate.

These salary bands have been established to provide salary guidelines for staff positions.

Salary Band Minimum Midpoint Maximum
A $16,584 $24,456 $32,328
B $18,240 $26,904 $35,556
C $19,728 $29,592 $39,456
D $21,708 $32,568 $43,416
E $24,312 $36,468 $48,612
F $27,228 $40,848 $54,456
G $30,012 $45,744 $61,500
H $34,188 $52,140 $70,080
I $38,988 $59,424 $79,908
J $43,716 $67,740 $91,812
K $50,712 $78,600 $106,488
L $58,836 $91,176 $123,528
M $68,232 $105,756 $143,292
N $80,508 $124,788 $169,068
O $93,492 $147,252 $201,024
P $110,340 $173,760 $237,192
Q $126,396 $199,056 $271,728
R $151,668 $238,872 $326,088