Applied AI/ML Researcher
lincoln laboratoryLexington (MA)
Applied AI/ML Researcher
Posted today
lincoln laboratoryLexington (MA)
Computer and Information Research ScientistsResearch and Development in the Physical, Engineering, and Life Sciences
SENIORITY
Lead
About the role
Overview:
In this role you apply AI/ML to boost cyber resilience and improve U.S. cyber operations. You will build data-driven solutions and prototype novel systems in collaboration with an interdisciplinary team. You’ll work on real data and complex problems that span security, operations, and technology. You will contribute to leadership, technical execution, and knowledge sharing, shaping impactful national-security outcomes. Compensation / Benefits Comprehensive health, dental, and vision plans MIT-funded pension Matching 401K Paid leave (vacation, sick, parental, military) Tuition reimbursement and continuing education Mentorship programs
Responsibilities:
Architect and build advanced data analysis and software solutions leveraging AI/ML Work with real data and systems to demonstrate solutions Collaborate with a cross-disciplinary team to rapidly acquire new skills Contribute to project leadership, technical execution, and knowledge sharing through publications and talks Engage in a culture of continuous learning and growth, pursuing research advancement
Key requirements:
Degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or related field and work experience PhD preferred or Master’s with 5+ years or Bachelor’s with 10+ years of relevant experience Proficiency in AI/ML for data analysis and software system design Cyber security experience Excellent written and oral communication, including non-technical audiences Ability to work independently and collaboratively on open-ended problems Proactive problem identification and solution exploration Excellent communication Collaborative mindset Proactive problem solving AI/ML for data analysis Data analysis and software system design Experience with large language models (LLMs) and retrieval-augmented generation (RAG) - desired
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.