Machine Learning Engineer - Tuskegee Institute, United States - Penn State University

Penn State University Tuskegee Institute, United States

3 weeks ago

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:

We are searching for a Machine Learning Engineer to join our Sensor Analysis and Data Modeling Department at the Applied Research Laboratory (ARL) at Penn State University.

ARL/Penn State's purpose is to develop innovative solutions to challenging problems in support of the Navy, Department of Defense, and Intelligence communities' engineering and technology needs.

The successful candidate will join a group of scientists and engineers working on next-generation sonar systems for a range of underwater applications.

Our group's research areas include synthetic aperture sonar image formation, acoustic navigation techniques, acoustic remote sensing, and sonar image classification.

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

You will:

Implement and apply modern data science techniques to a wide variety of information extraction problems, on both small- and large-scale sensed datasets.

Analyze and collect sonar data produced by cutting edge sensors, including time series, two- and three-dimensional acoustic images, and non-image-based representations.

Collaborate with experts in hardware development, physics-based modeling, signal and image processing, machine learning, and embedded software engineering to develop cross-disciplinary solutions.

Have the opportunity to work on cutting-edge sensors that are developed by this laboratory and by industry, and that are deployed in the Navy.

Be provided with unique research opportunities to customize the workflow from hardware design through perception, in order to shape the information that is exploited in the perception stage.

This job will be filled as a level 2 or level 3, depending upon the successful candidate's competencies.

Minimally requires a Bachelor's degree or higher in Engineering or Science disciplines, plus 2 years related experience for a level 2.

Additional experience and/or education required for higher-level jobs.

Additional responsibilities for a level 3 includes:
Some exposure/knowledge of acoustics and signal processing.
Creating and deploying Pytorch/TensorFlow pipelines, Python/R/Julia, and high-performance computing.
Mentor and train employees in the advancement of technical, project, and business-development skills.
Contribute to proposals, reports and presentations.

Required skills/experience areas include:
Algorithm development.
Strong mathematics skill set.
Exposure to data science either through coursework, projects or internships.

Contributions to the design, development, implementation, and analysis of data science, artificial intelligence (AI), and machine learning (ML) products, systems and subsystems.

Experience investigating and evaluating practical applicability of data science and AI/ML techniques for the development and improvement of various engineering systems.

Solid understanding of engineering practices and principles, along with the underlying knowledge of mathematics and physics.

Preferred skills/experience areas include:
Knowledge of neural network design for remote sensing and/or data imbalanced classification problems.
Programming in Matlab, Python, R or SQL.
Machine learning and data visualization.
Active government security clearance.

Additional skills and experience:
Publications in peer-reviewed journals and conference proceedings along with student engagement will be encouraged.
Excellent oral and written communication skills, and an ability to present to groups and potentially sponsors.
Occasional travel to support testing and to attend meetings as necessary.

Your working location will be fully on-site, located in State College, PA.

This position will require periodic travel to remote locations in support of testing as part of a small team of researchers, engineers, and technologists.

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 on 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 screening.

ARL is committed to diversity, equity, and inclusivity; we believe this is central to our success as a Department of Defense designated University Affiliated Research Center (UARC).

We are at our best when we draw on the talents of all parts of society, and our greatest accomplishments are achieved when diverse perspectives are part of our workforce.

FOR FURTHER INFORMATION on ARL, visit our web site at

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

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