Apply Now

Machine Learning Engineer Principal

San Diego, CA, US • Posted 8 hours ago • Updated 8 hours ago

Full Time

On-site

USD $160,001.00 - 200,000.00 per year

SAIC

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Science
Artificial Intelligence
Aerospace
Predictive Analytics
Decision Support
Bridging
Data Warehouse
Amazon RDS
Remote Desktop Services
PostgreSQL
Statistics
Data Quality
Data Integrity
Testing
Big Data
Amazon S3
Amazon EC2
Collaboration
Analytical Skill
Customer Facing
Software Development
JD
Security Clearance
Sensors
Logistics
Linux
Scripting
Debugging
Workflow
Apache NiFi
Analytics
Python
SQL
API
Extract
Transform
Load
ELT
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Relational Databases
Evaluation
Data Science
Natural Language Processing
Apache Spark
Data Processing
Snow Flake Schema
Data Validation
Quality Assurance
Presentations
Predictive Modelling
Forecasting
Use Cases
Data Engineering
Machine Learning (ML)
Data Governance
Communication
Stakeholder Engagement
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2612072

Location: San Diego, CA, US

Date Posted: 2026-04-30

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: ORA_HYBRID

Description

SAIC is seeking an AI/Machine Learning Engineer to support the Enterprise Center of Excellence (ECOE) in developing scalable, data-driven solutions for mission-critical aerospace and defense systems.

This role focuses on building applied machine learning capabilities on top of structured, governed data systems, enabling predictive analytics, anomaly detection, and decision support at the aircraft and system level.

The position bridges data engineering, analytics, and machine learning, supporting the transition from file-based data processing to enterprise data warehouse-driven intelligence.

This is a Hybrid/Remote role with preference to be residing in San Diego, CA

JOB DUTIES:

Data Pipeline & ML Integration

Develop and maintain end-to-end data pipelines (API ingestion, transformation, and loading into structured data stores)
Integrate machine learning models into production data workflows
Work with cloud-based data platforms (AWS, S3, RDS/PostgreSQL)

Machine Learning & Analytics

Develop and evaluate machine learning models for prediction, classification, and anomaly detection.
Apply statistical analysis and NLP techniques to structured and semi-structured datasets
Support feature engineering aligned with enterprise data models

Data Quality & Validation

Ensure data integrity, traceability, and validation across pipelines and models
Automate data validation and testing processes using Python and SQL
Support governed data frameworks and reproducible analytics

Cloud & Big Data Technologies

Work with AWS services (S3, EC2, Athena) and/or Google Cloud (BigQuery)
Utilize distributed data processing tools (e.g., Spark) where applicable
Support scalable data architectures for analytics and ML workloads

Stakeholder Engagement

Collaborate with engineers, data scientists, and domain experts
Present analytical findings and model outputs to technical and non-technical stakeholders
Support customer-facing discussions and solution development

Qualifications

REQUIREMENTS:

Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience.
Must be able to obtain a Secret Clearance after start
Experience integrating and analyzing data from multiple sensor modalities and enterprise sources (e.g., maintenance, logistics, supply) to support readiness and maintenance analytics.
Proficiency working in a Linux environment, including scripting, debugging, and system-level operations to support deployment and automation.
Experience developing scalable data pipelines and orchestrating workflows (e.g., Airflow, NiFi, or similar tools).
3-7 years of experience in data engineering, analytics engineering, or applied ML
Strong proficiency in:
- Python
- SQL
- Data pipeline development (API ingestion, ETL/ELT)
Experience with cloud platforms (AWS or Google Cloud Platform)
Experience working with structured data systems and relational databases
Understanding of machine learning fundamentals and model evaluation

DESIRED SKILLS:

Master's degree in Data Science or related field
Experience with:
- Natural Language Processing (NLP)
- Spark or distributed data processing
- BigQuery or Snowflake
Background in:
- Data validation, quality engineering, or regulated environments
Experience presenting to stakeholders or customers
Exposure to predictive modeling or forecasting use cases
Strong data engineering mindset (pipelines, structure, automation)
Ability to operationalize ML models-not just prototype
Understanding of data governance and reproducibility
Experience working in cross-functional engineering teams
Strong communication and stakeholder engagement skills

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2612072
Posted 8 hours ago

Company Info

About SAIC

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 include 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. 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.

Go to company profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Senior Principal Big Data Engineer

San Diego, California

•

Today

Job ID: 2611890 Location: San Diego, CA, US Date Posted: 2026-04-28 Category: Information Technology Subcategory: Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: Secret Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a visionary Senior Principal Big Data Engineer to support and expand our autonomous systems portfolio. This senior-level role requires a rare combination of strategi

Full-time

USD 160,001.00 - 200,000.00 per year

Systems Engineer Principal

San Diego, California

•

Today

Job ID: 2610351 Location: San Diego, CA, US Date Posted: 2026-03-18 Category: Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a cleared MBSE Systems Engineer who is a current Model-Based Engineering practitioner to support a portfolio of Battlespace Awareness and Inform

Full-time

USD 160,001.00 - 200,000.00 per year

Sr. Systems Engineer (AWS Data Engineer)

Remote

•

Today

Job ID: 2612081 Location: Remote Work, TX, US Date Posted: 2026-04-30 Category: Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: ORA_REMOTE Description SAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. This role

Full-time

USD 80,001.00 - 120,000.00 per year

Principal Engineer ? AWS AI & Contact Center Solutions

Remote

•

Today

Job ID: 2611087 Location: Remote Work, MS, US Date Posted: 2026-04-07 Category: Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: ORA_REMOTE Description About This Role SAIC is looking for a hands-on Principal Engineer to lead the design, build, and delivery of AI-enabled contact center solutions on AWS. You will work at t

Full-time

USD 120,001.00 - 160,000.00 per year

Search all similar jobs