Senior AI/ML Biologist – Autonomous Lab Systems Arlington

Systems Planning & Analysis; Arlington (VA); Vor Ort; USD 168.000 - 198.000; Vollzeit

Zusammenfassung

Systems Planning and Analysis, Inc. seeks a Biologist to provide advanced technical oversight for DARPA BTO programs from Arlington, VA.

The candidate will translate AI/ML and robotic automation advances into programmatic strategy, evaluate autonomous science platforms, and ensure model validity across multiple initiatives. Required are a Master’s degree and an Active Secret clearance, with 9+ years of relevant experience in AI/ML, active learning, and robotic automation architectures.

Qualifikationen

• Master's degree required.
• Active Secret clearance.
• 9+ years of experience applying AI/ML, active learning, and robotic automation to oversight, evaluation, and management of DARPA-like programs.
• Must be able to report to Arlington, VA on a full-time basis.

Aufgaben

• Provide advanced subject matter expertise and programmatic support to DARPA BTO Program Managers.
• Translate AI/ML, active learning, and robotic automation into technical oversight and program management.
• Evaluate algorithmic integrity, efficiency, and scalability of autonomous science platforms.
• Assess AI/ML models for validity and generalizability, and translate advances into DARPA program formulations.
• Conduct technical evaluations of ML architectures, training data, and hardware-automation integration plans in response to BAAs.

Ausbildung

Master's degree

Active Secret clearance

AI/ML expertise

Robotic automation

Technical oversight

Jobbeschreibung

Systems Planning and Analysis, Inc. seeks a Biologist to provide advanced technical oversight for DARPA BTO programs from Arlington, VA.

The candidate will translate AI/ML and robotic automation advances into programmatic strategy, evaluate autonomous science platforms, and ensure model validity across multiple initiatives. Required are a Master’s degree and an Active Secret clearance, with 9+ years of relevant experience in AI/ML, active learning, and robotic automation architectures.