Edge AI Scientist: Real-Time ML on Embedded Systems

MAXAR TECHNOLOGIES, INC.; Reston (VA); On-site; USD 140,000 - 206,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor is seeking a seasoned AI/ML engineer to deploy models on embedded hardware at the tactical edge from Reston, VA. You will train, evaluate, and optimize CV and LLM models, curating data from diverse sources while interfacing with mission owners and operators.

The role requires a TS/SCI clearance, strong Python and Linux skills, and hands-on experience with PyTorch/TensorFlow, Docker, and edge deployment strategies. This is an on-site position supporting critical DoD/IC applications.

Qualifications

• Bachelor's degree or higher in a technical field such as data science, CS, EE.
• At least five years of relevant experience.
• U.S. Citizen with TS/SCI clearance and CI poly.
• Proficiency in Python and data science stacks (NumPy, pandas, scikit-learn).
• Experience in AI/ML model training with PyTorch or TensorFlow.
• Experience configuring Linux, Docker, and edge deployments.

Responsibilities

• Source, curate, clean, and label datasets from open-source repos and sensor data.
• Train, fine-tune, and evaluate AI/ML models including CV and LLMs.
• Design evaluation methods to measure accuracy, latency, and reliability.
• Optimize models for edge hardware via quantization and pruning.
• Build and deploy offline-native data/ML pipelines in Docker.
• Configure Linux-based embedded systems and drivers.
• Evaluate open-source AI software to meet requirements.
• Engage with customers to align expectations with deliverables.

Skills

Python

Linux

PyTorch

TensorFlow

Docker

Edge deployment

MLOps

C/C++

Education

Bachelor's degree or higher in a technical field

Tools

Git

Kubernetes

ONNX Runtime

llama.cpp

Job description

Vantor is seeking a seasoned AI/ML engineer to deploy models on embedded hardware at the tactical edge from Reston, VA. You will train, evaluate, and optimize CV and LLM models, curating data from diverse sources while interfacing with mission owners and operators.

The role requires a TS/SCI clearance, strong Python and Linux skills, and hands-on experience with PyTorch/TensorFlow, Docker, and edge deployment strategies. This is an on-site position supporting critical DoD/IC applications.