Machine Learning Engineer

Riverside Research Institute - Dayton, OH

Full-time - Mid Level

Dayton, OH

Professional, Scientific, and Technical Services

About the position

Applied Research Solutions is seeking a full-time Machine Learning Engineer to support the Air Force Institute of Technology (AFIT) at Wright Patterson AFB. The role involves working independently and collaboratively to perform data analysis, apply machine learning techniques, and serve as a technical consultant for research projects. The position emphasizes the importance of employee development and work-life balance, offering a competitive benefits package.

Responsibilities

• Perform, interpret, and explain programming support, data analysis, and data visualization.
• Apply machine learning approaches and serve as a technical authority for research projects.
• Direct the design and construction of data sets from structured and unstructured data.
• Create and provide feedback on ML studies, identifying assumptions and measuring effectiveness.
• Document and present results to both technical and non-technical audiences.
• Assist with proposal writing as needed.
• Work with multi-disciplinary groups on additional programming tasks.
• Set well-defined and realistic goals and complete assignments in a timely manner.
• Manage and maintain large data sets efficiently.
• Occasional travel to collaborate with laboratories or research-related locations.

Requirements

• Must be a US Citizen
• Ability to obtain a Secret clearance
• Strong Python abilities
• 2-3 years of experience with programming languages
• 1-2 years of experience with machine learning implementation and analysis
• Ability to independently program and debug codes
• Strong communication abilities
• 1-2 years of experience solving research-related challenges and implementing solutions.

Nice-to-haves

• Experience with text analysis and natural language processing
• Integrating software and mechanical systems programming
• Experience with Raspberry Pi systems
• Utilizing structured or unstructured data for exploratory data analysis
• Experience with data visualization tools for comparative analysis
• Working with teams in remote sensing.

Benefits

• Competitive benefits package
• Awards and recognition program
• Personalized attention from senior managers