Senior Applied ML Engineer - Robotics Grasping Autonomy

Pickle Robot Company; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

Pickle Robot Company is seeking a senior applied ML engineer to own a challenging robotics problem: deciding how a robot should grasp and how to grasp it. You will fuse classical robotics with state-of-the-art neural networks, guiding a two-person team.

This is a senior role where you’ll choose approaches and own implementations, working on ML systems integrated with real robot platforms.

Qualifications

• Experience applying ML to robotics problems.
• Strong background in neural networks and computer vision.
• Hands-on with ML systems on real robot platforms.

Responsibilities

• Own the ML approach for grasp decision making in robots.
• Develop and validate algorithms in simulation and on hardware.
• Collaborate with a small team to shape system direction.

Skills

Applied ML

Robotics

Neural networks

Python

Education

MS/PhD in CS/EE/Robotics

Tools

PyTorch

ROS

TensorFlow

Job description

Pickle Robot Company is seeking a senior applied ML engineer to own a challenging robotics problem: deciding how a robot should grasp and how to grasp it. You will fuse classical robotics with state-of-the-art neural networks, guiding a two-person team.

This is a senior role where you’ll choose approaches and own implementations, working on ML systems integrated with real robot platforms.