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Browse Open JobsMachine Learning Engineer - Autonomy Lab
Summary by AIEngineer.careers
Machine Learning Engineer - Autonomy Lab is a Machine Learning Engineer role (full-time). with Software Engineering Institute. in PITTSBURGH, US. Imported listing (source: ziprecruiter.com). Apply on the employer's site (ziprecruiter.com).
Imported listing (source: ziprecruiter.com) · Apply on ziprecruiter.com
PITTSBURGH · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ziprecruiter.com
The SEI AI Division seeks a Machine Learning Engineer to join the AI for Autonomy Lab. This role involves applied research and engineering in machine learning for autonomous systems, working with interdisciplinary teams to prototype capabilities for government customers. Requires deep technical knowledge in AI/ML, system engineering, and eligibility for security clearance.
Responsibilities
- Solution Development: Work with and lead interdisciplinary teams to turn research results into prototype operational capabilities.
- Hands-on Prototyping: Conduct and lead novel prototyping in applied AI with focus on ML in autonomy and uncrewed systems.
- Strategy: Plan and carry out research and engineering strategy.
- Collaboration: Participate on teams of developers, researchers, and technical leads.
- Mentoring: Improve technical capabilities of the team by mentoring and teaching.
Requirements
- BS in Computer Science or related discipline with 8+ years experience; MS with 5+; PhD with 2+.
- Ability to work onsite 5 days per week in Pittsburgh, PA or Arlington, VA.
- Eligible to obtain and maintain Department of War security clearance.
- Deep technical knowledge in machine learning, AI, and related tools.
Software Engineering Institute
Pittsburgh · US · 700+ employees
The Software Engineering Institute (SEI) is a research and development center affiliated with Carnegie Mellon University. It focuses on advancing the practice of software engineering and cybersecurity to improve the quality, safety, and security of software systems.
