Morse · 19 hours ago
Machine Learning Engineer
Arlington, VA
Full-time
Onsite
Mid Level
$90K/yr - $210K/yrMORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA, specializing in cutting-edge technology solutions for the US National Security Ecosystem. They are seeking a Machine Learning Engineer to design, implement, and manage complex ML algorithms and systems, focusing on computer vision and data integration.
ConstructionHome RenovationInterior Design
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking
Use MLOps tools for efficient experiment tracking, data management, and reproducibility
Write robust, efficient, and maintainable code
Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
Qualification
Required
US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
Proven experience testing and validating the performance of AI technologies in real-world applications
Proficiency in Python
Experience with cloud platforms (AWS and Azure)
Experience with Docker
Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc
Exceptional communication skills and the ability to work well with customers
Preferred
Experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning
Understanding of Department of Defense requirements and standards
Benefits
Comprehensive benefits package for employees and families
Company
Morse
Morse is a consulting, IT services and technology company, with proven expertise in Business Applications Services and Infrastructure Services and Technology.
Founded in 2014
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase