AI/ML Software Engineer

Description

JOB TITLE/TYPE:

PAY RANGE:

AI/ML Software Engineer

Are you looking for more than just a seat on a contract?

Are you looking for more than just a seat on a contract? Are you tired of big-box defense contractors where your contributions get lost in layers of bureaucracy?

At Skyline Scientific, your skills will shape the future.

Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development in support of national security missions.

This role is ideal for someone who can do more than write assigned code. We are looking for someone who can understand a technical problem, design the software logic, build modular workflows, and work closely with sensor, data, and machine learning experts to turn complex technical concepts into usable tools.

You do not need to be the sensor expert on day one. You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software that supports simulation, training data workflows, automation, analysis, and operational decision-making.

We offer top-tier benefits, an entrepreneurial culture, and a tight-knit team of experts who are passionate about their craft. If you’re looking for real engineering challenges, supportive leadership, and the ability to make a direct impact, this is the place for you.

This job opportunity is in Springfield, VA. Work may be performed in both Windows and Linux environments, including classified workspaces. Candidates must be comfortable working in secure customer environments.

Why Skyline Scientific?

• Technical Mission Work: Build Python-based tools for sensor data, scientific data, training pipelines, simulation, automation, and mission analytics.
• Small Expert Team: Work directly with scientists, sensor experts, machine learning specialists, and customers without excessive bureaucracy.
• Industry-Leading Benefits: 15% employer 401(k) contribution with no employee contribution required, employer-paid healthcare, and one of the strongest benefits packages in the industry.

JOB 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

REQUIRED QUALIFICATIONS:

• 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.

PREFERRED QUALIFICATIONS:

• 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.

BENEFITS:

• Attractive Salary
• Paid Time Off (PTO): 25 days
• Medical, Dental & Vision: Employer-Paid
• Disability & Life Insurance Coverage
• 401k:15% Employer Match (no contribution required)
• Profit Sharing Options
• Compressed Workweek Options
• Annual Performance Bonus
• Referral & Incentive Bonus Opportunities
• Professional Development & Education Assistance
• Relocation Assistance Options

Join Skyline Scientific—Where Innovation Meets Mission.

This isn’t a role where you’ll sit idle on a contract—it’s an opportunity to design, develop, and deploy advanced software and AI-driven solutions that impact national security.

If you're looking for a position where your expertise is valued, your work makes a difference, and you're surrounded by top-tier talent.

Our company is an Equal Employment Opportunity employer. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. We are committed to creating a diverse and inclusive work environment where all employees are valued and respected.