AI/ML Software Engineer

Skyline Scientific Inc•Springfield, VA

1d•$140,000 - $180,000•Onsite

About The Position

Skyline Scientific is seeking a skilled Python software engineer to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development for national security missions. This role requires an individual who can understand technical problems, design software logic, build modular workflows, and collaborate with experts in sensors, data, and machine learning to transform complex technical concepts into practical tools. While deep expertise in sensors or machine learning research is not required initially, a strong coding ability, clear thinking, and enthusiasm for working with scientists and engineers to develop software for simulation, training data workflows, automation, analysis, and operational decision-making are essential. The company offers top-tier benefits, an entrepreneurial culture, and a collaborative team environment focused on challenging engineering problems and direct impact. The job is located in Springfield, VA, and may involve work in Windows and Linux environments, including classified workspaces, requiring comfort in secure customer settings.

Requirements

Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Data Science, or a related STEM field. Equivalent technical experience may be considered.
3+ years of algorithm development, scientific computing, machine learning workflow support, or related technical software experience.
Programming experience for software development, data processing, automation, analysis, or algorithm implementation.
Ability to work from technical requirements and create logical software architecture, workflows, and implementation plans.
Comfortable collaborating with subject matter experts to understand data, algorithms, mission needs, and technical constraints.
Familiarity with source control and development tools such as Git, GitLab, Bitbucket, Jira, Jenkins, or similar tools.
U.S. citizenship and ability to obtain and maintain a security clearance.
Willingness and ability to work in classified or secure customer environments.

Nice To Haves

Active Top Secret, TS/SCI
Experience with machine learning workflows, neural network applications, training data preparation, data labeling, model evaluation, or ML-enabled analytics.
Experience with sensor data, scientific data, signal processing, image processing, simulation, modeling, or equivalent technical data workflows.
Experience developing software for simulation, modeling, data workflows, automation, mission analysis, or scientific/engineering applications.
Experience creating software architecture diagrams, workflow schematics, logic trees, or technical implementation plans.
Background in mathematics, engineering, physics, image science, electrical engineering, computer engineering, or scientific computing.
Experience using Git Repository
Experience integrating algorithms into existing software suites or operational workflows.
Experience supporting defense, intelligence, aerospace, scientific, engineering, or classified customer environments.
Self-motivated, adaptable, and comfortable learning new technical domains.

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, extended, and transitioned to other users.
Test, integrate, troubleshoot, and optimize algorithms, data pipelines, machine learning-enabled tools, and software modules into deployable software packages.
Manage, maintain, and optimize Git repositories.