Artificial Intelligence / Machine Learning Research and Development Engineer
Penn State University Park, United States
Full Time Senior-level / Expert Clearance required USD 141K - 219K
Penn State University
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JOB DESCRIPTION AND POSITION REQUIREMENTS:
We are seeking a talented, experienced and a highly motivated AI/ML Research and Development Engineer to assist in providing its 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.
You will:
- Designing, developing, and researching machine learning systems, models, and schemes
- Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains and selecting appropriate data sets before performing data collection and data modeling
- Visualizing data for deeper insights
- Generating and presenting technical research reports and briefings
- Performing statistical analysis in support of pattern of life and anomaly detection
- Performing data fusion and correlation
- Building high quality software prototypes integrated with our various research and pre-production software environments
- Serve as a lead for multiple research projects
- Prepare and deliver presentations on complex research topics
The selected candidates will assume a technical leadership role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in State College, PA or Reston, VA.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
Minimally requires a Bachelor's degree in an Engineering or Science discipline and 19 years’ related experience. A Master's degree in a related engineering discipline is preferred
Experience in the following is required:
- Data science/algorithm development
- Data science / Machine Learning languages to include Python
- Research, development and implementation of novel machine learning models
- Ability to present complex technical topics to wide range of audiences
Experience in the following is preferred:
- 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
- Active TS/SCI Clearance
You will be subject to a government security investigation, and you must be a U.S. Citizen to apply. Employment with the Applied Research Laboratory will require successful completion of a pre-employment drug screen.
FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu.
**The proposed salary range may be impacted by geographic differential.**The salary range for this position, including all possible grades is:
$141,700.00 - $219,600.00Salary 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, affirmative action 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.
University Park, PATags: Architecture ASR Data analysis Docker EDA Engineering FastAPI Git GPU Kubernetes Linear algebra Machine Learning Matplotlib ML models NumPy Pandas PostgreSQL Python PyTorch Research Security Statistics TensorFlow
Perks/benefits: Career development
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