Montana State University Machine Learning Analyst in Bozeman, Montana

Position Details

Position Information

Announcement Number STAFF - VA - 19080

For questions regarding this position, please contact:

Chris Huvaere 406-994-7729

Classification Title Program/Project Lead

Working Title Machine Learning Analyst

Brief Position Overview

TechLink is seeking a Machine Learning Analyst with experience designing, developing, and deploying machine learning tools to analyze, classify, and evaluate Department of Defense intellectual property and SBIR data. This position is responsible for creating software that enables TechLink to leverage its extensive data assets into increased departmental performance, as well as develop new service offerings to the DoD and other federal agencies.

Position Number 4C0010

Department TechLink

Division Office of Research and Economic Development

Appointment Type Professional

Contract Term Fiscal Year


If other, specify From date

If other, specify End date

FLSA Exempt

Union Affiliation Exempt from Collective Bargaining

FTE 1.0

Benefits Eligible Eligible

Salary Salary commensurate with experience, education, and qualifications.

Contract Type LOA

If other, please specify

Recruitment Type Open

Position Details

General Statement

TechLink is a nationally recognized technology transfer center at Montana State University that was established in 1996. Since 1999, TechLink has served as the primary “partnership intermediary” for the US Department of Defense (DoD), helping DoD to develop productive technology partnerships with US industry, primarily small businesses.

TechLink’s primary focus is helping DoD labs to transfer their inventions to US companies. TechLink currently brokers or facilitates approximately 60 percent of all DoD’s license agreements with industry. These license agreements enable companies to develop, manufacture, and sell new products and services using DoD inventions. TechLink also helps companies secure competitive research and development (R&D) contracts from DoD to develop new technologies that have both military and commercial applications.

Integral to this success is the research and development of information tools that: identify DoD technologies; analyze and identify key characteristics about DoD intellectual property; and streamline the identification of potential DoD commercial partners.

Duties and Responsibilities

  • Analyze TechLink’s project and business practices for the applicability of machine learning and data science methodologies. Work with the licensing team to determine the operational and performance requirements for data-driven solutions.

  • Evaluate different machine learning, data science, and other statistics-based computational methods for classification and other complex automated analysis of DoD licensing and SBIR-related information.

  • Lead detailed analysis of complex DoD licensing and SBIR-related data using the most appropriate machine learning approaches. Curate and evaluate information to ensure soundness and robustness of conclusions extracted from the data and integration with TechLink’s existing information systems.

  • Create programmatic document templates to facilitate DoD licensing.

  • Support the TechLink leadership team with other initiatives as directed.

Required Qualifications – Experience, Education, Knowledge & Skills

  • Bachelor’s degree in computer science or other related technical field, or an equivalent combination of education and/or experience in a closely related field

  • Demonstrated experience with industry-standard machine learning toolkits

  • Demonstrated experience designing and developing machine learning projects

  • Demonstrated programming experience in multiple languages (for example, in Java, Python, C, etc.)

Preferred Qualifications – Experience, Education, Knowledge & Skills

  • Master’s degree in computer science or other related technical field, or an equivalent combination of education and/or experience in a closely related field

  • Experience using containerization technologies for software deployment

  • Experience using different software development tools and methodologies, including continuous integration and version control software

  • Demonstrated experience with natural language processing techniques

  • Demonstrated experience developing and deploying REST API-based applications

  • Experience with Linux-based deployment environments

  • Experience creating custom LaTeX document templates

The Successful Candidate Will

  • Be highly organized with great attention to detail and a high level of accuracy

  • Have an personal drive to help others work more efficiently

  • Be forward-looking, intellectually curious, creative, and a good team player

  • Be able to effectively manage multiple concurrent technical projects that involve different objectives and timelines

  • Demonstrate excellent, professional verbal and written communication skills.

  • Embrace and adapt quickly to changes in priorities, processes and work environment with a positive attitude.

Position Special Requirements/Additional Information

Continuation of employment is contingent upon availability of funding. Funding is currently anticipated through September 30, 2019.

This position includes defense department work with security restrictions; therefore, applicants who are not U.S. citizens are not eligible for the position.

This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University’s rights to assign or reassign duties and responsibilities to this job at any time.

Physical Demands

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required.

This position has supervisory duties? Yes

Posting Detail Information

Number of Vacancies 1

Desired Start Date Upon completion of successful search

Position End Date (if temporary)

Open Date

Close Date

Applications will be:

Screening of applications will begin on September 14, 2018; however, applications will continue to be accepted until an adequate applicant pool has been established.

Special Instructions

Diversity Statement

Montana State University values diverse perspectives and is committed to continually supporting, promoting and building an inclusive and culturally diverse campus environment. MSU recognizes the importance of work-life integration and strives to be responsive to the needs of dual career couples.

Montana State University is committed to providing a working and learning environment free from discrimination. As such, the University does not discriminate in the admission, access to or conduct of its educational programs and activities nor in its employment policies and practices on the basis of an individual’s race, color, religion, national origin, creed, service in the uniformed services (as defined in state and federal law), veteran’s status, sex, age, political ideas, marital or family status, pregnancy, physical or mental disability, genetic information, gender identity, gender expression, or sexual orientation. In support of the University’s mission to be inclusive and diverse, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged.

Montana State University makes accommodation for any known disability that may interfere with an applicant’s ability to compete in the hiring process or an employee’s ability to perform the duties of the job. To request an accommodation, contact the Human Resources Office, PO Box 172520, Montana State University, Bozeman MT 59717-2520; 406-994-3651; .

In compliance with the Montana Veteran’s Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran’s preference please complete the veteran’s preference information located in the Demographics section of your profile.

MSU’s Non-Discrimination Policy and Discrimination Grievance Procedures can be located on the MSU Website: .