Robotics Software Engineer - ML and Grasping

Picklerobot
Charlestown, US
On-site

Who this role is best for

Best suited to mid-level engineers with hands-on experience in both ML systems and robotic platforms, working in a small, high-impact team environment.

Best fit for

  • Engineers who have practical experience with robotic platforms and ML systems.
    — “someone who has gotten their hands dirty with both ML systems and robotic platforms”
  • Candidates seeking technically deep and practically grounded problems.
    — “work on problems that are technically deep and practically grounded”
  • Individuals comfortable working at the intersection of classical robotics and modern AI.
    — “working at the intersection of classical robotics and modern AI”

Things to consider

  • The role involves core technical challenges around robotic grasping decisions.
    — “how does the robot decide what and how to grasp”
  • Expect to work in a small, high-impact team setting.
    — “join a small, high-impact team”

How to stand out

  • Highlight projects where you fused classical robotics with neural networks.
    — “fusion of classical robotic techniques with state-of-the-art neural networks”
  • Demonstrate hands-on experience with both ML and robotic systems.
    — “gotten their hands dirty with both ML systems and robotic platforms”
  • Showcase work on technically deep and practical robotics problems.
    — “problems that are technically deep and practically grounded”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • optimized grasping algorithms
  • enhanced robotic performance
  • improved return on investment
Typical background
robotics engineeringmachine learningAI systems

Skills & requirements

Required

Machine LearningGrasping AlgorithmsRobotic PlatformsNeural NetworksClassical Robotics

Preferred

AI SystemsRobotics Integration

Stack & domain

Machine LearningGraspingRoboticsProblem-solvingInnovationCollaborationAI

About the role

Original posting from Picklerobot via Lever

About this role:

Pickle is looking for a Robotics Software Engineer with a focus on Machine Learning and Grasping to join a small, high-impact team working at the intersection of classical robotics and modern AI. This role sits at the heart of one of our core technical challenges: how does the robot decide what and how to grasp? The answer involves a fusion of classical robotic techniques with state-of-the-art neural networks and models. If you are someone who has gotten their hands dirty with both ML systems and robotic platforms, and you want to work on problems that are technically deep and practically grounded, this is the role for you.

Source: Picklerobot careers (Lever)

Similar roles