AIML Computer Science Research and Development Engineer
University Park, IL - USA
Job Summary
- 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.
Approval of remote and hybrid work is not guaranteed regardless of work additional information on remote work at Penn State seeNotice to Out of State Applicants.
POSITION SPECIFICS
We are seeking a highly motivated researcher to join our Comprehensive Software Solutions (CSS) Department at the Applied Research Laboratory (ARL) at Penn State. CSS applies a wide variety of software concepts techniques and languages to solve challenging problems for ARLs sponsors as well as internally for ARLs needs. The ideal candidate will have a strong record of innovative research and a demonstrated ability to transition concepts into impactful technical capabilities especially with respect to Artificial Intelligence (AI) Machine Learning (ML) Deep Learning (DL) and Generative AI but more specifically in the areas of adversarial safe and/or agentic AI.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
- Conduct advanced research in AI/ML software engineering computational systems or related fields
- Develop novel methods models and technologies that address emerging challenges with respect to AI relevant to our sponsor base
- Communicate results through technical reports publications and presentations to stakeholders scientists and/or software engineers both within the laboratory and external sponsors
- Contribute to publications white papers technical memos and/or study plans especially in the field of AI/ML
- Collaborate with interdisciplinary teams to design prototype and evaluate missionfocused solutions
- Perform larger tasks individually or as part of a group and leading tasks
Required skills/experience areas include:
- Strong foundation in machine learning concepts including supervised unsupervised and reinforcement learning
- Hands-on development of models using frameworks such as PyTorch TensorFlow or JAX
- Proficiency in Python and scientific computing libraries (NumPy Pandas SciPy)
- Data preprocessing feature engineering and working with structured and unstructured datasets
- Solid understanding of statistics probability optimization and linear algebra
- Design and implemention deep neural networks including CNNs RNNs or Transformer-based architectures
- Familiarity with training and evaluating models on GPU-accelerated hardware
- Ability to build reproducible experiments and maintain clear documentation
- Integrating AI/ML models into software systems or prototypes
- Best practices for model validation benchmarking and performance tuning
- Strong problem-solving skills and ability to formulate research questions into practical ML tasks
- Version control testing and modern software engineering practices
- Ability to clearly communicate technical concepts to interdisciplinary teams
- Demonstrated track record of research publications or impactful project contributions in AI/ML
Preferred skills/experience areas include:
- Masters or Doctorate degree in Computer Science Software Engineering Artificial Intelligence Machine Learning Mathematics or a closely related field
- Explainable AI trustworthy AI or robust/adversarial ML
- Background working with large-scale datasets streaming data or multimodal sensor data
- Deployment practices (Docker containerized ML services ML pipeline tools)
- Applied research environments or missionfocused systems development
- Current eligibility for access to classified information at the TS/SCI level or higher and may be subject to a government background investigation to upgrade clearance eligibility if required.
Your working location will be fully on-site located in State College PA. This position may also require periodic travel to remote locations in support of testing. Questions related to flexible work should be directed to the hiring manager during the interview process.
MINIMUM EDUCATION WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R&D Engineer - Software (ARL) - Senior Professional this position requires: Bachelors Degree - Engineering or Science 14 years of relevant experience Required Certifications: None If filled as R&D Engineer - Software (ARL) - Advanced Professional this position requires: Bachelors Degree - Engineering or Science 5 years of relevant experience Required Certifications: NoneARLs 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 .
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.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.
SALARY & BENEFITS
The salary range for this position including all possible grades is $121704.00 - $231000.00.Salary Structure - Information on Penn States salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional 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 .
Required Experience:
IC
About Company
Penn State is a major, public, research-I university serving Pennsylvania and the global community. Learn more about our undergraduate, graduate, and doctoral degree programs.