Software Engineer Associate

Saic; Ohio; Remote; USD 40,000 - 80,000; Full time

Job summary

SAIC is seeking a Software Engineer to work remotely from anywhere in the U.S. The role involves leveraging machine learning to solve complex problems while requiring a strong foundation in programming and data analysis. The ideal candidate will possess a Bachelors Degree and various skills in machine learning concepts and data preprocessing.

Benefits

Health Insurance

Retirement Plan

Paid Time Off

Training and Development

Flexible Work Hours

Qualifications

• Must be a US Citizen with the ability to obtain a Secret clearance.
• Strong foundation in machine learning concepts and techniques.
• Previous coursework or projects in machine learning is a plus.

Responsibilities

• Collaborate with cross-functional teams for technical solutions.
• Assist in the development and deployment of machine learning models.
• Conduct data preprocessing and exploratory data analysis.

Skills

Machine Learning Concepts

Python

Data Preprocessing

Problem Solving

Communication Skills

Statistics

Education

Bachelors Degree

Tools

TensorFlow

PyTorch

scikit-learn

Git

Job description

Job ID: 2506385
Location: REMOTE WORK, OH, United States
Date Posted: Jun 6, 2025
Category: Software
Subcategory: SW Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: Remote
Benefits: Click here

SAIC is a premier technology integrator solving our nation's most complex modernization and readiness challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration, enterprise IT, cyber security, AI/ML, and data analytics.

SAIC is seeking a Software Engineer to work remotely from anywhere within the U.S.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that leverage machine learning and data science techniques
• Assist in the development and deployment of machine learning models, algorithms, and data pipelines to solve complex problems and optimize processes
• Conduct data preprocessing, feature engineering, and exploratory data analysis to enhance model performance and insights
• Participate in designing and implementing experiments to evaluate model performance and iterate on improvements
• Assist in the integration of machine learning solutions into production systems, ensuring scalability, robustness, and reliability
• Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science to propose innovative ideas and techniques for improving existing systems
• Contribute to documentation, knowledge sharing, and training to ensure the transfer of technical knowledge within the team

Qualifications

Required Qualifications:

• Must be a US Citizen with the ability to obtain a Secret clearance
• Strong foundation in machine learning concepts and techniques, including supervised and unsupervised learning, feature selection, and model evaluation
• Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity with data preprocessing, cleaning, and transformation techniques to handle real-world data challenges
• Basic understanding of statistics and experimental design for evaluating model performance and making data-driven decisions
• Exposure to version control systems (e.g., Git) and collaborative coding practices
• Strong problem-solving skills and the ability to work effectively in a team-oriented, fast-paced environment
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders
• Previous coursework, projects, or internships in machine learning or data science is a plus
• Any experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is advantageous

Job Description

Description

SAIC is a premier technology integrator solving our nation's most complex modernization and readiness challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration, enterprise IT, cyber security, AI/ML, and data analytics.

SAIC is seeking a Software Engineer to work remotely from anywhere within the U.S.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that leverage machine learning and data science techniques
• Assist in the development and deployment of machine learning models, algorithms, and data pipelines to solve complex problems and optimize processes
• Conduct data preprocessing, feature engineering, and exploratory data analysis to enhance model performance and insights
• Participate in designing and implementing experiments to evaluate model performance and iterate on improvements
• Assist in the integration of machine learning solutions into production systems, ensuring scalability, robustness, and reliability
• Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science to propose innovative ideas and techniques for improving existing systems
• Contribute to documentation, knowledge sharing, and training to ensure the transfer of technical knowledge within the team

Qualifications

Required Qualifications:

• Must be a US Citizen with the ability to obtain a Secret clearance
• Bachelors Degree
• Strong foundation in machine learning concepts and techniques, including supervised and unsupervised learning, feature selection, and model evaluation
• Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity with data preprocessing, cleaning, and transformation techniques to handle real-world data challenges
• Basic understanding of statistics and experimental design for evaluating model performance and making data-driven decisions
• Exposure to version control systems (e.g., Git) and collaborative coding practices
• Strong problem-solving skills and the ability to work effectively in a team-oriented, fast-paced environment
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders
• Previous coursework, projects, or internships in machine learning or data science is a plus
• Any experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is advantageous

Target salary range: $40,001 - $80,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .

Please apply through the internal career site here >