Perception Science Manager, Computer Vision for Drones

Socket.dev; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Sign-on bonus

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Manager III, Applied Science for the Perception team to lead scientists and engineers building world‑class perception systems for autonomous drones. You will guide development combining computer vision, ML, and distributed computing to enable safe navigation in complex environments.

The role emphasizes architectural leadership, data-driven decision making, and building an inclusive, high‑performing team while delivering scalable solutions for drone delivery safety and

Qualifications

• 3+ years leading scientists or ML engineers.
• Knowledge of ML, NLP, information retrieval, and analytics.
• Master’s degree or PhD.
• Experience with video/image processing, CV, and ML.

Responsibilities

• Lead and mentor a team of scientists and software engineers building perception systems for autonomous drones.
• Define and drive the technical vision and roadmap for perception technology.
• Collaborate with hardware engineers, autonomy specialists, and product stakeholders to deliver scalable, distributed systems.
• Establish audit mechanisms and metrics to track system performance, model accuracy, and progress.
• Build and grow an inclusive, high-performing team through hiring, mentoring, and career development.

Skills

ML knowledge

NLP

Information Retrieval

Analytics

Education

Master's degree or PhD

Tools

PyTorch

TensorFlow

MXNet

Job description

Amazon is seeking a Manager III, Applied Science for the Perception team to lead scientists and engineers building world‑class perception systems for autonomous drones. You will guide development combining computer vision, ML, and distributed computing to enable safe navigation in complex environments.

The role emphasizes architectural leadership, data-driven decision making, and building an inclusive, high‑performing team while delivering scalable solutions for drone delivery safety and