Job Summary
The primary focus of this role is to spearhead the creation, training, and assessment of deep learning frameworks aimed at undersea acoustic detection, classification, and characterization. This position also requires managing research initiatives, orchestrating resources effectively, and working alongside various multidisciplinary teams to ensure that prototypes successfully evolve into functioning operational systems.
Responsibilities
- Lead the design and implementation of deep learning models for acoustic applications.
- Oversee the training and evaluation processes of developed models.
- Coordinate research projects to drive innovation and progress.
- Manage resources and schedules to achieve project goals efficiently.
- Collaborate with teams across various disciplines to integrate prototypes into real-world scenarios.
Qualifications
- Bachelor’s, Master’s, or Doctorate in a relevant scientific discipline.
- Several years of experience in data science with a strong focus on deep learning and signal processing.
- U.S. citizenship with eligibility to obtain and sustain a federal security clearance.
Pacific Northwest National Laboratory provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
