Machine Learning
1 month ago
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.
Department Summary:
MITRE’s Artificial Intelligence Innovation Center's Robotics and Autonomous Systems Department is an innovative team of engineers focused on the development of cutting-edge autonomous systems, robotics capabilities, and AI solutions for a safer world.
The Robotics and Autonomous Systems Department has an exciting opportunity for a Senior Machine Learning Engineer. Your experience will allow you to influence research directions; evaluate the challenges and potential solutions for designing, developing, and fielding machine learning solutions; assess the adequacy and maturation of existing research programs and shape their technical and programmatic direction; and identify new areas where research and development are needed to strengthen the nation’s growing machine learning capabilities.
The right candidate will enjoy a fast-paced team environment, a broad array of challenging problems, and an opportunity to work with advanced technologies from across the field of autonomy and will serve a critical role in enabling advanced autonomy capabilities both for our sponsors as well as internal efforts at MITRE.
Roles and Responsibilities:
- Work on, or lead, a team to develop and implement ML and deep learning algorithms
- Develop and use modern software engineering techniques to develop ML-related software
- Maintain knowledge of advances of ML capabilities in industry and academia
- Develop, propose and execute research in the field of ML
- Develop and propose new research directions in ML-enabled systems in support of MITRE’s internal research program and sponsor’s research programs
- Evaluate ML solutions and compare to sponsor requirements and needs.
Basic Qualifications:
- Must be a US citizen able to obtain and maintain a US government clearance
- MSc degree or higher in artificial intelligence or related discipline
- 6+ years of experience in defining, developing, and deploying ML solutions.
- Ability to articulate ML-specific challenges, discuss critical issues, and identify gaps.
- Excellent communication skills (both written and verbal) along with ability to foster relationship development with sponsors
- Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems
- Strong written and verbal communication skills
- Ability to work both independently and with a team.
- Experience with programming languages such as C++ and Python.
- Familiarity with state-of-the-art technology.
Preferred Qualifications:
- PhD degree in artificial intelligence or related discipline w/ 8+ years of experience in defining, developing, and deploying ML solutions
- Active DoD Secret clearance.
This requisition requires the candidate to have a minimum of the following clearance(s):
NoneThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
SecretWork Location Type:
HybridMITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website
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