Lead AI Research Engineer
3 weeks ago
About the Role:
MITRE is seeking a highly skilled AI Research Engineer to join our team. As a key member of our Artificial Intelligence & Autonomy Innovation Center, you will be responsible for researching, developing, and integrating AI capabilities, with a focus on security and trust.
Key Responsibilities:
- Conduct research and development of AI capabilities, including large language models, to address critical national and global challenges.
- Provide technical leadership to cross-functional teams and complex projects, ensuring the effective and responsible application of AI.
- Analyze AI use cases and recommend secure and trustworthy solutions to sponsors.
- Collaborate with government, industry, and academia to provide, assess, and shape trustworthy and secure AI-enabled systems.
Requirements:
- Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent combination of related education and work experience.
- Experience leading functional teams or complex projects, developing strategies and objectives, and leading others to execute on technical challenges.
- Hands-on experience with machine learning and one or more of the following technical areas: Generative AI, AI Security, Trustworthy AI, AI Governance, or AI T&E.
- Excellent written and verbal communication skills to articulate complex technical concepts to both lay and expert audiences.
- Must be a US Citizen eligible for a US Government Security Clearance.
Preferred Qualifications:
- Advanced degree in computer science, engineering, or related disciplines.
- Demonstrated advanced skills with Python and the standard ML stack (Tensorflow/Torch, NumPy, Pandas, etc.).
- 8+ years of impactful work experience in AI-related fields.
- Experience leading large cross-functional teams and complex projects.
- Experience publishing consequential AI research in journals or conferences.
- Track-record of successful deployment of AI/ML systems or components that have been used by customers or stakeholders outside of a lab/experimental setting.
Work Environment:
MITE is a hybrid work environment, requiring a minimum of 50% on-site work.
Equal Employment Opportunity:
MITE is an equal opportunity employer, committed to diversity, inclusion, and accessibility.
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