Applied AI/ML Researcher at MIT Lincoln Laboratory · Lexington, MA · Joined
ML
Applied AI/ML Researcher
MIT Lincoln Laboratory · Lexington, MA · Just now · 0 applicants
NewOn-siteFull-timeMiddle
Pay
$114k–$148kListed
Workplace
On-site
Job type
Full-time
Level
Middle
Source: jobright · Posted by joined-scrapper
About the role
MIT Lincoln Laboratory seeks an Associate Staff Applied AI/ML Researcher to develop, evaluate, and transition AI/ML capabilities for cyber-electromagnetic and national-security applications, working with RF data and prototypes. The role includes testing, integration, technical documentation, and collaboration with sponsors and operational stakeholders.
What you’ll do
Develop, evaluate, and transition AI/ML capabilities for cyber-electromagnetic and national-security applications
Apply machine learning, RF signal processing, and data science to RF data and prototypes
Support testing, integration, and technical documentation
Collaborate with sponsors and operational stakeholders
Lead components of projects and manage milestones, dependencies, risks, and deliverables
Mentor less experienced colleagues and contribute to team capability development
What you’ll need
Bachelor's degree in STEM or relevant technical field with relevant experience, or Master's degree, or equivalent
Proficiency in Python and scientific-computing/ML libraries such as NumPy, SciPy, pandas, PyTorch, TensorFlow, scikit-learn, or JAX
Familiarity with core ML concepts including supervised/unsupervised learning, model training/validation, feature representation, performance evaluation, and overfitting mitigation
Ability to analyze complex datasets and communicate findings clearly
Ability to obtain and maintain required security clearance
U.S. citizenship required
Original job description
MIT Lincoln Laboratory is seeking an Associate Staff Applied AI/ML Researcher to develop, evaluate, and transition AI and machine-learning capabilities for cyber-electromagnetic and national-security applications. The role applies machine learning, RF signal processing, and data science to RF data and prototypes, and supports testing, integration, technical…