Staff AI/ML Engineer (TS/SCI) {S}

TSG; Aurora (CO); On-site; USD 155,000 - 200,000; Full time

Benefits offered by this job

401(k) retirement plan

3 weeks of vacation accrual

Annual bonus program

Company paid life insurance

Employee assistance program (EAP)

Job summary

A technology company located in Aurora, CO is seeking a Staff AI/ML Engineer to tackle challenging research problems. The ideal candidate will have more than 8 years of experience in developing AI/ML algorithms and a strong proficiency in Python and various ML libraries. Responsibilities include implementing algorithms, analyzing datasets, and mentoring team members. This position offers a competitive salary range of $155,000 - $200,000 and generous benefits, including a 401(k) plan, vacation, and more.

Qualifications

• 8+ years of AI/ML development experience.
• Proficiency with machine learning libraries.
• Active TS/SCI U.S. Government Security Clearance.

Responsibilities

• Implement machine learning algorithms as part of a team.
• Analyze large multi-domain datasets.
• Create technical documentation and user guides.

Skills

Python

PyTorch

OpenCV

NumPy

Polars

Education

B.S. in machine learning, computer science, mathematics, or related field

M.S. or PhD in relevant technical field

Tools

AWS

CUDA

Docker

Kubernetes

Job description

Stratagem Group Aurora

3855 Lewiston St

Suite 250

Aurora, CO 80011, USA

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next‑generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview

This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models.

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that’s of interest to you.

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

Required 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

Preferred Qualifications

• M.S. or PhD in relevant technical field
• Experience leading interdisciplinary teams
• Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
• Experience with GenAI Ops techniques (e.g. LLM‑as‑a‑judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
• Linux and AWS experience
• Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.

Pay Range

$155,000 - $200,000

Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the following considerations: job‑related knowledge and skills, education, and experience.

Application Window

The application window will close in 60 days for this position.

Location

Aurora, CO

Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20‑minute drive from downtown Denver and 15‑minutes to the Denver International Airport.

What We Offer

• Company contributions to qualified HSA accounts
• 401(k) retirement plan with industry‑leading company contributions
• 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
• 13 paid holidays
• Upfront tuition assistance for approved degree programs
• Annual bonus program based on company and employee performance
• Company paid life insurance, AD&D, Short‑Term and Long‑Term disability insurance
• 4 weeks paid Parental Leave
• Employee assistance program (EAP)

This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to [e-mail] or contact 203‑797‑5000 and press 2 for Human Resources.

ITC & Security Clearance Requirements

This position requires an active TS/SCI U.S. Government Security Clearance.

Visa Restrictions

No visa sponsorship is available for this position.

Pre‑employment Screenings

Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre‑employment requirements to include a credit check, background check, and drug screen.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.