Research and Development Computer Vision Engineer
Quick Summary
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,
- Develop, test, and report on computer vision algorithms to further understanding and capabilities of analytic tools
- Combine multi-int source data with modeling capabilities that associate real world objects to known signatures and doctrines
- Develop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities
- Grow career and capabilities, conduct applied research, provide technical guidance, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques
- Engage in research efforts ranging from proof-of-concept through integrated production systems
- Collaborate on programs as part of a team
- Conduct experiments, analysis, and design or apply meaningful metrics to measure results
- Computer programming in one or more of the following: Python, R, Java, C++, or Matlab
- Ability to express yourself and ideas successfully to others in order to provide understanding
Nice to Have
~1 min read- Work within DoD/IC Analysis or Operational environments
- Git, open source scientific computation, computer vision, modeling, or machine learning tools
- Work with high performance computing
Your work location will be fully on-site located in State College, PA but options exist for hybrid of on-site/work from home based on project-dependent ability. Questions related to flexible work should be directed to the hiring manager during the interview process.
ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).
FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu.
Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.
What We Offer
~1 min read
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.
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.
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.
Location & Eligibility
About this job
- Pay per year
- $105,900–$200,808 a year
- 27% below the $210,000 median for Machine Learning Engineer jobs on Jobera (920 salaries).
- Posted
- Today
Listing Details
- First seen
- October 27, 2026
- Last seen
- October 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 63%
- Scored at
- October 27, 2026
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