Artificial Intelligence / Machine Learning Research and Development Engineer

The Pennsylvania State University; University Park (PA, TX); On-site; USD 76,000 - 130,000; Full time

Job summary

The Cyber Innovation, Analytics, and Operations Department at The Pennsylvania State University is seeking talented Data Scientists to develop machine learning and AI solutions. This role involves significant technical contributions, research, and design of systems in a classified environment, requiring a strong educational background and experience in data science.

Qualifications

• Experience in data science and algorithm development.
• Familiarity with machine learning tools and frameworks.
• Experience with statistical analysis and data visualization.

Responsibilities

• Design and develop machine learning systems and models.
• Visualize data for deeper insights.
• Generate technical research reports and briefings.

Skills

Data science

Machine Learning

Python

Education

Bachelor's degree in Engineering or Science

Master's degree (preferred)

Tools

PyTorch

TensorFlow

SQL

Git

Docker

Job description

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Cyber Innovation, Analytics, and Operations Department within the Information Advantage Office (IAO) at the Applied Research Laboratory (ARL) at Penn State is looking for talented, experienced, and highly motivated Data Scientists to assist in providing its customers with state-of-the-art solutions. In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

• Design, develop, and research machine learning systems, models, and schemes
• Study, transform, and apply state-of-the-art machine learning prototypes to sponsor specific domains collection and data modeling
• Visualize data for deeper insights
• Generate and present technical research reports and briefings
• Performing statistical analysis in support of pattern of life and anomaly detection
• Build high quality software prototypes integrated with our various research and pre-production software environments

The selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA. Periodic travel to sponsor sites may be required.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline. Additional experience and/or education are required for higher level jobs. A Master's degree is preferred.

Additional responsibilities of higher level positions include:

• Supervise the work of lower level staff and undergraduate student
• Perform tasks of a larger scope and lead specific tasks within the project scope

Experience in the following is required:

• Data science/algorithm development
• Data science / Machine Learning languages, to include Python
• Research, development, and implementation of machine learning models

Experience in the following is preferred:

• Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
• Statistics, linear algebra, and data structures
• Exploratory data analysis and visualization
• Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
• Software Development tools to include Git, Docker, Kubernetes, SSH
• Active TS/SCI Clearance

ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.

You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

**The proposed salary range may be impacted by geographic differential.**

The salary range for this position, including all possible grades is:

$76,700.00 - $129,500.00

Salary Structure - additional information on Penn State's job and salary structure.

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

Employment with the University will require successful completion of background check(s) in accordance with University policies.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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