Technical Staff- AI Technology Group

Key Skills

Aartificial intelligence, Autonomy, Git, JIRA, Machine learning techniques, Python Programming, Reinforcement Learning, Software Development

Job Description

Job Title: Technical Staff – Artificial Intelligence/Machine Learning

AI Technology Group (Group 01) is seeking staff members to join the group. This is an exciting opportunity for qualified candidates looking to deepen their experience and apply their skills as they participate in research and development focused on Lincoln Laboratory’s contributions to AI in support of national security. The group develops fundamental, cross-cutting, and enabling AI technologies to solve complex challenges and advance AI for the nation. In close collaboration with groups across the Laboratory and with the academic community, especially MIT, our research team is working at the frontier in AI research. Our research team includes experts with expertise in deep learning architectures, adversarial learning, probabilistic programming, reinforcement learning, network science, multi-modal data fusion, trusted AI, human-AI teaming and autonomous systems. Our team has access to large amounts of data and the largest AI supercomputer at any university in the world. The data and the compute capabilities provide ample opportunities to do research at scale on both closed and publicly available datasets. We provide a vibrant collaborative research environment with close ties to academia and sponsors with critical mission needs.

We are looking for candidates at all levels (Senior Staff, Technical Staff, Associate Staff, and Assistant Staff) with AI and Machine Learning expertise and interest. 

Staff will work closely with our interdisciplinary research team and with academic collaborators to gain exposure to a large breadth of research topics relevant to mission needs across the Laboratory. Staff will be encouraged and have the opportunity to publish academic papers and gain valuable experience in AI, while pushing the state of the art in intelligent and learning systems. Significant opportunities are also available for developing AI/ML-based software systems, delivering AI training courses to DoD/IC sponsors and Laboratory staff, and acting as trusted technical advisors to the government. We are looking for staff at all levels with machine learning expertise / interest in the following areas:

• Knowledge-informed approaches to Machine Learning

Develop algorithms that incorporate models derived from math, physical sciences, social sciences, and human knowledge to make Machine Learning systems more accurate, data-efficient, more compute efficient, and more robust.

• AI for Materials, Biotechnology, Health, and Climate Sciences

Apply AI/ML for scientific discovery of new materials and biological agents; Health informatics and climate sciences

• AI robustness, resilience, trust, and ethics

Develop algorithms that are safe, fair, explainable, and reliable, and develop evaluation methodologies for verifying these properties to enhance the trustworthiness of individual models and AI systems with a focus on DoD/IC-specific data modalities.

• Reinforcement learning and autonomy

Develop algorithms, experiments, and prototypes in the area of sequential decision-making for battle management and autonomous systems with a focus on safety in complex autonomous systems.

• AI engineering

Develop frameworks and toolboxes to make AI scale from embedded devices to
supercomputing centers.

• Human-AI Teaming

Develop frameworks, systems and cognitive/behavior models to enable effective and robust collaboration between humans and AI teammates.

Candidates should be proficient with the Python ecosystem of machine learning libraries, have experience with software development management tools (JIRA, Git), and have exposure to a variety of machine learning techniques.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.