Machine Learning Engineer
MORSE Corp3 months ago
Cambridge, MA, USA +2 moreMid Level
Base Salary
$90k - $210k/yr
Responsibilities
- Develop, fine-tune, train, and optimize computer vision algorithms for object detection and tracking.
- Acquire truth data, integrate and combine algorithms, and transition algorithms to production.
- Use MLOps tools for experiment tracking, data management, and reproducibility.
- Write robust, efficient, and maintainable code.
- Review machine learning research and introduce relevant techniques and methodologies.
- Conduct experiments, rigorously evaluate computer vision models, and analyze data from field tests.
Requirements
- U.S. citizenship and the ability to obtain a U.S. security clearance are required.
- A master's or Ph.D. in computer science, computer engineering, data science, aerospace, mathematics, physics, or a related field is required.
- Proven experience applying computer vision models, techniques, frameworks, and libraries to implement and fine-tune models.
- Proven experience testing and validating AI technologies in real-world applications.
- Proficiency in Python.
- Experience with AWS and Azure cloud platforms, Docker, and MLOps tools such as Airflow, MLflow, or AimStack.
- Strong communication skills and the ability to work effectively with customers.
- Understanding of Department of Defense requirements and standards is preferred.
Benefits
- Compensation includes potential bonus, stock, 401(k) match, paid time off, and medical, dental, vision, and life insurance, depending on role eligibility.
- Employees receive 10 paid holidays per year.
- Eligible exempt regular full-time employees receive an open leave policy that is not limited to a fixed number of paid sick or vacation days.
- The position is based with MORSE Corp in Cambridge, MA, Arlington, VA, or Seattle, WA.
Categories
About MORSE Corp
MORSE Corp is an employee-owned defense technology firm that provides algorithm development, software engineering, and systems integration for U.S. national security customers. Its work spans mission planning, guidance/navigation, multi-vehicle autonomy, computer vision, and machine learning, delivered through contract R&D and engineering services to DoD, intelligence agencies, and defense primes. Founded in 2014, the company is headquartered in Cambridge, MA, with offices in Arlington, VA, and Seattle, WA.