Robotics Manipulation: Applied Science Manager

Amazon Science

North Reading (MA)

On-site

USD 184,000 - 249,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision coverage
401(k) Plan
Paid Time Off

Job summary

Amazon Science in North Reading, MA is seeking an Applied Science Manager to lead a team of scientists and engineers tackling robotic manipulation challenges and shaping future priorities. You will partner with experts on perception, grasp learning, diffusion policies, and sim2real transfer to accelerate technology development and deploy automation solutions across Amazon Robotics.

This role emphasizes leadership, strategy, and career growth for team members, with a focus on building scalable,

Qualifications

  • PhD in engineering or related field, or Master's with 4+ years of research experience.
  • 6+ years of applied research experience.
  • 3+ years of scientists or ML engineers management experience.
  • Experience hiring and growing top talent.
  • Strong robotics, computer vision and ML knowledge (Grasping, 3D geometry, CNNs/LLMs).

Responsibilities

  • Define science and engineering strategy and product features.
  • Drive system architecture and best practices to enable a quality product.
  • Lead and develop a strong team of scientists and engineers.
  • Partner with business, applied scientists, and product managers to accelerate development.

Skills

Java
C++
Python
Machine learning
Robotics
Leadership

Education

PhD in engineering or related field
Master's degree + 4+ years experience

Tools

Git
ROS
TensorFlow

Job description

Amazon Science in North Reading, MA is seeking an Applied Science Manager to lead a team of scientists and engineers tackling robotic manipulation challenges and shaping future priorities. You will partner with experts on perception, grasp learning, diffusion policies, and sim2real transfer to accelerate technology development and deploy automation solutions across Amazon Robotics.

This role emphasizes leadership, strategy, and career growth for team members, with a focus on building scalable,

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