Machine Learning Engineer
Machine Learning Engineer
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$ 67600 - 122200
1 Vacancy
Job Description
Leidos Security Enterprise Solutions (SES) operation is seeking a Machine Learning Engineer to support our data science and AI initiatives. You will help build and maintain ML models and pipelines collaborate with cross-functional teams and contribute to deploying scalable machine learning solutions in production. You will be developing new capabilities and intellectual property including (but not limited to) the detection of prohibited concealed items on passengers or in their building intelligent systems that drive real-world impact pushing the limits of what is possible with regards to automated security solutions and were looking for passionate curious and collaborative individuals to join our team.
Primary Responsibilities:
- Assist in designing developing testing and deploying machine learning models.
- Work with large datasets: cleaning preprocessing feature engineering.
- Collaborate with data scientists engineers and product managers to integrate ML models into applications.
- Help monitor model performance and retrain/update models as needed.
- Contribute to documentation and best practices.
- Stay up to date with the latest ML research tools and technologies.
- May require occasional travel (10%) domestic or international.
Requirements:
- Bachelors degree in Computer Science Engineering Mathematics or a related field and 2 years of work experience or Masters degree with less than 2 years of work experience. May consider additional work experience in lieu of a degree.
- Must have the ability to obtain a Public Trust clearance (US citizenship required).
- Solid understanding of machine learning fundamentals (e.g. supervised/unsupervised learning model evaluation).
- Proficiency in Python and common ML libraries (e.g. scikit-learn pandas NumPy).
- Proficiency in Object-oriented software design.
- Familiarity with PyTorch or similar frameworks.
- Familiarity with cloud platforms (e.g. AWS GCP or Azure).
- Experience with version control tools (e.g. Git).
- Exposure to MLOps concepts or tools (e.g. MLflow Docker CI/CD).
- Basic knowledge of SQL and data querying.
- Strong problem-solving and communication skills.
- Eagerness to learn and adapt in a fast-paced environment.
Preferred Qualifications:
- Masters degree and 12 years of hands-on experience in a machine learning or data science role (including internships research or full-time industry experience).
- Proven experience building validating and deploying machine learning models in real-world scenarios.
- Completed academic or industry projects that demonstrate the application of ML techniques to solve complex problems.
- Cloud platform certifications such as: Microsoft Certified: Azure AI Engineer Associate AWS Certified Machine Learning Specialty Google Cloud Professional Machine Learning Engineer
- Experience using MLOps tools and workflows including MLflow Docker CI/CD pipelines and model monitoring.
- Familiarity with deep learning frameworks especially PyTorch and the ability to build and fine-tune neural network models.
- Exposure to data engineering workflows such as data pipelines (e.g. Airflow) distributed processing (e.g. Spark) or data lake architectures.
- Strong documentation skills and the ability to clearly communicate technical details to both technical and non-technical audiences.
- Contributions to open-source ML projects participation in Kaggle competitions or relevant publications (a plus).
The Leidos Security Enterprise Solutions (SES) team has developed a suite of integrated solutions for aviation ports borders and critical infrastructure customers around the world. We have more than 24000 products deployed across 120 countries including best-in-class security checkpoint and inspection systems for people checked baggage and more.
Check out the links below to learn more about Security Enterprise Solutions (SES)
Leidos we dont want someone who fits the moldwe want someone who melts it down and builds something better. This is a role for the restless the over-caffeinated the ones who ask whats next before the dust settles on whats now.
If youre already scheming step 20 while everyone else is still debating step 2 good. Youll fit right in.
Original Posting:
August 29 2025For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $67600.00 - $122200.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
Employment Type
Full-Time
