End-to-End ML Applications Engineer

UM01 University of Maryland College Park (UMCP); United States; On-site; USD 80,000 - 110,000; Full time

Job summary

The University of Maryland's Applied Research Laboratory for Intelligence & Security (ARLIS) is seeking talent for roles focused on machine learning systems. Positions are available for entry-level to senior-level candidates. Key tasks include developing machine-learning applications and collaborating with diverse teams.

Salary ranges from $80,000 to $110,000, emphasizing a commitment to innovation in national security research. Candidates must be able to obtain a U.S. security clearance.

Qualifications

• Entry Level: Bachelor's in CS, Engineering, or Data Science with ~2 years experience.
• Mid-Level: Master's with 3+ years in defense or intelligence R&D.
• Senior-Level: Master's + 7+ years in defense or intelligence R&D.

Responsibilities

• Build end-to-end machine-learning systems from problem formulation to deployment.
• Deploy and maintain ML systems in operational environments.
• Collaborate with teams to integrate ML capabilities into broader systems.

Skills

Machine Learning

Natural Language Processing

Computer Vision

Project Management

Research and Development

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in relevant field

PhD in related field

Tools

PyTorch

scikit-learn

Docker

FastAPI

Postgres

Job description

The University of Maryland's Applied Research Laboratory for Intelligence & Security (ARLIS) is seeking talent for roles focused on machine learning systems. Positions are available for entry-level to senior-level candidates. Key tasks include developing machine-learning applications and collaborating with diverse teams.

Salary ranges from $80,000 to $110,000, emphasizing a commitment to innovation in national security research. Candidates must be able to obtain a U.S. security clearance.