Applied AI/ML Engineer — Defense Data to Deployable Models

SRC Inc.; Fairborn (OH); On-site; USD 70,000 - 96,000; Full time

Benefits offered by this job

Competitive benefits

4+ weeks paid time off

100% tuition support

10% employer retirement contribution

Job summary

SRC, Inc. is seeking an AI/ML Engineer to join a hands-on team building machine learning and generative AI capabilities for defense and national security missions in the Dayton area.

You will assemble and curate datasets, train and fine-tune models, and build evaluation harnesses to gauge field readiness. You will work under senior engineers on tasks spanning classical ML, deep learning, reinforcement learning, and the evolving generative AI toolchain, with opportunities for ownership as you

Qualifications

• Bachelor’s degree required in a technical field; 0+ years experience counting internships/co-ops/research assistantships.
• Proficiency with Python and core scientific stack (NumPy, pandas, scikit-learn, matplotlib).
• Familiarity with at least one deep learning framework (preferably PyTorch).
• Exposure to Hugging Face ecosystem or equivalent tooling.
• Understanding ML fundamentals: train/validation/test, overfitting, regularization, cross-validation, metrics for various tasks.
• Comfort with Git-based collaboration.
• Clear written and verbal communication, and candor about results.

Responsibilities

• Build, clean, label, and version datasets from real and simulated sources.
• Train, fine-tune, and benchmark models using open‑source frameworks.
• Develop evaluation pipelines with task-specific metrics and held-out/adversarial sets.
• Support generative AI efforts through prompts, retrieval‑augmented generation, and model comparisons.
• Assist with parameter‑efficient fine‑tuning (LoRA/QLoRA) and supervised fine‑tuning.
• Implement reinforcement learning experiments and ensure reproducible measurements.
• Maintain experiment tracking and code hygiene for reproducibility.
• Contribute data, figures, and findings to reports and program reviews.
• Collaborate with algorithm engineers to understand sensor data and domain phenomena.

Skills

Python

NumPy

pandas

scikit-learn

matplotlib

PyTorch

Transformers

Datasets

Tokenizers

Git

ML fundamentals

prompt development

RAG systems

Education

Bachelor's degree in CS/Engineering/Math/Physics/Statistics

Master's degree in a related field

Tools

Docker

Job description

SRC, Inc. is seeking an AI/ML Engineer to join a hands-on team building machine learning and generative AI capabilities for defense and national security missions in the Dayton area.

You will assemble and curate datasets, train and fine-tune models, and build evaluation harnesses to gauge field readiness. You will work under senior engineers on tasks spanning classical ML, deep learning, reinforcement learning, and the evolving generative AI toolchain, with opportunities for ownership as you