Space & Defense ML Systems Engineer

Skyline Scientific Inc; Springfield (VA); On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Salary Competitive

PTO 25 days

Employer-Paid Medical

Disability & Life Insurance

401k 15% Match

Profit Sharing

Compressed Workweek

Annual Performance Bonus

Referral & Incentive Bonuses

Professional Development

Relocation Assistance

Job summary

Skyline Scientific Inc. seeks a Space and Defense Systems Engineer to design, develop, and deploy advanced software and AI-driven solutions that support national security.

You will work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development. This role requires strong software engineering, experience with ML pipelines, and the ability to operate in Windows and Linux environments, including secure spaces.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Mathematics, Physics, Data Science, or related STEM field.
• 2+ years of algorithm development, scientific computing, ML workflow support, or related software experience.
• Programming experience for software development, data processing, automation, or algorithm implementation.
• Ability to create logical software architecture from well defined requirements.
• Comfortable collaborating with subject matter experts to understand data, algorithms, mission needs, and constraints.
• Familiarity with source control and development tools such as Git, GitLab, Bitbucket, Jira, Jenkins, or similar tools.
• Self-motivated, adaptable, and comfortable learning new technical domains.
• U.S. citizenship and ability to obtain and maintain a security clearance.
• Willingness to work in classified or secure customer environments.

Responsibilities

• Develop and maintain Python-based software for scientific, analytical, simulation, automation, machine learning, and operational applications.
• Work with sensor experts, scientists, machine learning specialists, and analysts to translate technical concepts into software requirements, logic trees, schematics, and executable workflows.
• Create clear software architecture, block diagrams, code structure, and documentation so that tools can be maintained and extended.
• Test, integrate, troubleshoot, and optimize algorithms, data pipelines, ML-enabled tools, and software modules into deployable software packages.
• Manage, maintain, and optimize Git repositories.

Skills

Python

Machine learning workflows

Data analysis

Software architecture

Security clearance readiness

Collaboration with experts

Self-motivation

Communication skills

Education

Bachelor's degree in STEM

Tools

Git

GitLab

Bitbucket

Jira

Jenkins

Job description

Skyline Scientific Inc. seeks a Space and Defense Systems Engineer to design, develop, and deploy advanced software and AI-driven solutions that support national security.

You will work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development. This role requires strong software engineering, experience with ML pipelines, and the ability to operate in Windows and Linux environments, including secure spaces.