ARKA

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

$155K–$200KFull-time · Aurora, CO
✓ Verified live on the employer's own system · added 165 days ago
Save search
Senior

Requirements

Education: Bachelor's degree or related field

Skills & tools

Machine LearningCloud PlatformsPythonGitDevopsSecurity Clearance

Benefits — mentioned in this posting

Remote / flexible
Apply on company site ↗ See your fit → free

Full job description

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.

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.

  • Implement machine learning algorithms as part of a small interdisciplinary team
  • Analyze large multi-domain datasets including images, text, time series, and graph data
  • Understand training and deployment pipelines including AWS services
  • B.S. in machine learning, computer science, mathematics, or related field
  • Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
  • 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
  • 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.

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.

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

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.

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

More jobs at ARKA

Similar jobs near Aurora, CO

Search Staff AI/ML Engineer (TS/SCI) {S} jobs near Aurora, CO → Browse all live jobs

This posting was published by ARKA on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.