Staff AI/ML Engineer (TS/SCI) – Relocation Included

TSG; King of Prussia (PA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

HSA contributions

401k with company contributions

Vacation/leave + holidays

Tuition assistance

Annual bonus

Life insurance

Job summary

ARKA Group L.P. is seeking a Staff AI/ML Engineer to prototyping and develop AI/ML algorithms across object detection, NLP, time series, RL, and LLMs. You will work with a small interdisciplinary team and mentor colleagues while supporting training and deployment pipelines on AWS.

Relocation is available and flexible scheduling options may be offered. Candidates must hold an active TS/SCI clearance and have strong Python and ML library experience.

Qualifications

• B.S. in machine learning, computer science, mathematics, or related field.
• 8+ years of AI/ML development experience.
• Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars.
• Experience with supervised and unsupervised learning.
• Experience with deep learning architectures.
• Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket).
• Active TS/SCI U.S. Government Security Clearance.

Responsibilities

• Implement machine learning algorithms as part of a small interdisciplinary team.
• Analyze large multi-domain datasets including images, text, time series, and graph data.
• Review and apply cutting-edge research publications.
• Create technical documentation and user guides.
• Understand training and deployment pipelines including AWS services.
• Provide training and mentoring to team members.

Skills

Python

ML libraries

Deep learning

Git/GitLab/Bitbucket

TS/SCI Clearance

Education

B.S. in ML/CS/Math

Tools

PyTorch

Lightning

OpenCV

NumPy

Polars

CUDA

Docker

Kubernetes

Job description

ARKA Group L.P. is seeking a Staff AI/ML Engineer to prototyping and develop AI/ML algorithms across object detection, NLP, time series, RL, and LLMs. You will work with a small interdisciplinary team and mentor colleagues while supporting training and deployment pipelines on AWS.

Relocation is available and flexible scheduling options may be offered. Candidates must hold an active TS/SCI clearance and have strong Python and ML library experience.