Artificial Intelligence / Machine Learning Research and Development Engineer

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

POSITION SPECIFICS

We are seeking highly motivated Research and Development Engineers to join our Research Artificial Intelligence of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems given large sets of multivariate data.

Located in State College, PA or Reston, VA

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

You will:

Design and implement machine learning systems, models, and schemes

Research and apply state-of-the-art machine learning prototypes to sponsor specific domains

Search and select appropriate data sets before performing data collection and data modeling

Visualize data for deeper insights

Generate and present technical research reports and briefings

Perform statistical analysis in support of pattern of life and anomaly detection

Perform data fusion and correlation

Build high quality software prototypes integrated with our various research and pre-production software environments

Collaborate with other ARL staff and sponsors

Supervise the work of lower-level staff and undergraduate student

Perform tasks of a larger scope and lead specific tasks within the project scope

Required skills/knowledge includes:

Data science/algorithm development

Data science / Machine Learning languages to include Python

Research, development and implementation of machine learning models

Preferred skills/knowledge includes:

Active TS/SCI Clearance

Master’s degree

Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based

Working with geo-spatial data

Statistics, multivariable calculus, and linear algebra

Exploratory data analysis and visualization

Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI

Software Development tools to include Git, Docker, Kubernetes, SSH

Your work location will be fully on-site State College PA or Reston, VA. Questions related to flexible work should be directed to the hiring manager during the interview process.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.

FOR FURTHER INFORMATION on ARL, visit our website at www.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

SALARY & BENEFITS

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

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.

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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